Descriptor: "FEDERATED learning" - Searchworks@Jio Institute Digital Library Search Results

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9,780 results on '"FEDERATED learning"'

1. Trustworthy AI Using Confidential Federated Learning.

Author: Guo, Jinnan, Pietzuch, Peter, Paverd, Andrew, and Vaswani, Kapil
Subjects: *ARTIFICIAL intelligence, *DATA privacy, *FEDERATED learning, *DATA protection laws, *MACHINE learning
Abstract: The artificial intelligence (AI) revolution is significantly altering industries and daily life, with innovations such as chatbots, personalized systems, and autonomous vehicles becoming increasingly prevalent. As organizations leverage AI to enhance efficiency and spur growth, ensuring the trustworthiness of AI systems is paramount. Trustworthy AI should demonstrate reliability, fairness, transparency, accountability, and robustness. Privacy is a crucial component, particularly in scenarios requiring sensitive data, such as medical or financial applications. Privacy-preserving techniques like federated learning (FL) and confidential computing are emerging to address these challenges. Combining these approaches into confidential federated learning (CFL) offers enhanced security and compliance with privacy regulations while maintaining transparency and accountability.
Published: 2024
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2. Federated explainable artificial intelligence (fXAI): a digital manufacturing perspective.

Author: Kusiak, Andrew
Subjects: ARTIFICIAL intelligence, MACHINE learning, FEDERATED learning, INTELLIGENT tutoring systems
Abstract: The industry has embraced digitalisation leading to a greater reliance on models derived from data. Understanding and getting insights into the models generated by machine learning algorithms is a challenge due to their non-explicit nature. Explainable artificial intelligence (XAI) is to enhance understanding of the digital models and confidence in the results they produce. The paper makes two contributions. First, the XRule algorithm proposed in the paper generates explicit rules meeting user's preferences. A user may control the nature of the rules generated by the XRule algorithm, e.g. degree of redundancy among the rules. Second, in analogy to federated learning, the concept of federated explainable artificial intelligence (fXAI) is proposed. Besides providing insights into the models built from data and explaining the predicted decisions, the fXAI provides additional value. The user-centric knowledge generated in support of fXAI may lead to discovery of previously unknown parameters and subsequently models that may benefit the non-explicit and explicit perspectives. The insights from fXAI could translate into new ways of modelling the phenomena of interest. A numerical example and three industrial applications illustrate the concepts presented in the paper. [ABSTRACT FROM AUTHOR]
Published: 2024
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3. Federated machine learning for privacy preserving, collective supply chain risk prediction.

Author: Zheng, Ge, Kong, Lingxuan, and Brintrup, Alexandra
Subjects: FEDERATED learning, MACHINE learning, SUPPLY chains, ARTIFICIAL intelligence, PRIVACY, POPULARITY
Abstract: The use of Artificial Intelligence (AI) for predicting supply chain risk has gained popularity. However, proposed approaches are based on the premise that organisations act alone, rather than a collective when predicting risk, despite the interconnected nature of supply chains. This yields a problem: organisations that have inadequate datasets cannot predict risk. While data-sharing has been proposed to evaluate risk, in practice this does not happen due to privacy concerns. We propose a federated learning approach for collective risk prediction without the risk of data exposure. We ask: Can organisations who have inadequate datasets tap into collective knowledge? This raises a second question: Under what circumstances would collective risk prediction be beneficial? We present an empirical case study where buyers predict order delays from their shared suppliers before and after Covid-19. Results show that federated learning can indeed help supply chain members predict risk effectively, especially for buyers with limited datasets. Training data-imbalance, disruptions, and algorithm choice are significant factors in the efficacy of this approach. Interestingly, data-sharing or collective risk prediction is not always the best choice for buyers with disproportionately larger order-books. We thus call for further research on on local and collective learning paradigms in supply chains. [ABSTRACT FROM AUTHOR]
Published: 2023
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4. Towards Multi-modal Transformers in Federated Learning

Author: Sun, Guangyu, Mendieta, Matias, Dutta, Aritra, Li, Xin, Chen, Chen, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Leonardis, Aleš, editor, Ricci, Elisa, editor, Roth, Stefan, editor, Russakovsky, Olga, editor, Sattler, Torsten, editor, and Varol, Gül, editor
Published: 2025
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5. Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning

Author: Huang, Wenke, Ye, Mang, Shi, Zekun, Du, Bo, Tao, Dacheng, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Leonardis, Aleš, editor, Ricci, Elisa, editor, Roth, Stefan, editor, Russakovsky, Olga, editor, Sattler, Torsten, editor, and Varol, Gül, editor
Published: 2025
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6. PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning

Author: Guo, Haiyang, Zhu, Fei, Liu, Wenzhuo, Zhang, Xu-Yao, Liu, Cheng-Lin, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Leonardis, Aleš, editor, Ricci, Elisa, editor, Roth, Stefan, editor, Russakovsky, Olga, editor, Sattler, Torsten, editor, and Varol, Gül, editor
Published: 2025
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7. DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images

Author: Tasneem, Zaid, Dave, Akshat, Singh, Abhishek, Tiwary, Kushagra, Vepakomma, Praneeth, Veeraraghavan, Ashok, Raskar, Ramesh, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Leonardis, Aleš, editor, Ricci, Elisa, editor, Roth, Stefan, editor, Russakovsky, Olga, editor, Sattler, Torsten, editor, and Varol, Gül, editor
Published: 2025
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8. FedHARM: Harmonizing Model Architectural Diversity in Federated Learning

Author: Kastellos, Anestis, Psaltis, Athanasions, Patrikakis, Charalampos Z., Daras, Petros, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Leonardis, Aleš, editor, Ricci, Elisa, editor, Roth, Stefan, editor, Russakovsky, Olga, editor, Sattler, Torsten, editor, and Varol, Gül, editor
Published: 2025
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9. Multilayered Asynchronous Consensus-Based Federated Learning (MACoFL)

Author: Rebollo, Miguel, Carrascosa, Carlos, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Julian, Vicente, editor, Camacho, David, editor, Yin, Hujun, editor, Alberola, Juan M., editor, Nogueira, Vitor Beires, editor, Novais, Paulo, editor, and Tallón-Ballesteros, Antonio, editor
Published: 2025
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10. Comparative Study of Federated Learning Algorithms Based on SPADE Agents

Author: Enguix, Francisco, Peris, Saúl Cerdá, Rincon, J. A., Carrascosa, C., Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Julian, Vicente, editor, Camacho, David, editor, Yin, Hujun, editor, Alberola, Juan M., editor, Nogueira, Vitor Beires, editor, Novais, Paulo, editor, and Tallón-Ballesteros, Antonio, editor
Published: 2025
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11. Federated Learning with Discriminative Naive Bayes Classifier

Author: Torrijos, Pablo, Alfaro, Juan C., Gámez, José A., Puerta, José M., Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Julian, Vicente, editor, Camacho, David, editor, Yin, Hujun, editor, Alberola, Juan M., editor, Nogueira, Vitor Beires, editor, Novais, Paulo, editor, and Tallón-Ballesteros, Antonio, editor
Published: 2025
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12. Federated Learning for Vietnamese SMS Spam Detection Using Pre-trained PhoBERT

Author: Anh, Hoang Quang, Anh, Pham Tuan, Nguyen, Pham Son, Hung, Phan Duy, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Julian, Vicente, editor, Camacho, David, editor, Yin, Hujun, editor, Alberola, Juan M., editor, Nogueira, Vitor Beires, editor, Novais, Paulo, editor, and Tallón-Ballesteros, Antonio, editor
Published: 2025
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13. Federated Neural Machine Translation Using Multi-agent Reinforcement Learning

Author: Kitagawa, Kantaro, Murakami, Yohei, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Mathieu, Philippe, editor, and De la Prieta, Fernando, editor
Published: 2025
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14. Aggregation Strategy for Federated Machine Learning Algorithm

Author: Erdei, Rudolf, Delinschi, Daniela, Bărăian, Iulia, Matei, Oliviu, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Quintián, Héctor, editor, Corchado, Emilio, editor, Troncoso Lora, Alicia, editor, Pérez García, Hilde, editor, Jove, Esteban, editor, Calvo Rolle, José Luis, editor, Martínez de Pisón, Francisco Javier, editor, García Bringas, Pablo, editor, Martínez Álvarez, Francisco, editor, Herrero Cosío, Álvaro, editor, and Fosci, Paolo, editor
Published: 2025
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15. Towards More Efficient and Improved Federated Learning

Author: Bhanbhro, Jamsher, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Tekli, Joe, editor, Gamper, Johann, editor, Chbeir, Richard, editor, Manolopoulos, Yannis, editor, Sassi, Salma, editor, Ivanovic, Mirjana, editor, Vargas-Solar, Genoveva, editor, and Zumpano, Ester, editor
Published: 2025
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16. Optimizing Federated Learning and Increasing Efficiency

Author: Ilić, Mihailo, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Tekli, Joe, editor, Gamper, Johann, editor, Chbeir, Richard, editor, Manolopoulos, Yannis, editor, Sassi, Salma, editor, Ivanovic, Mirjana, editor, Vargas-Solar, Genoveva, editor, and Zumpano, Ester, editor
Published: 2025
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17. FedeM: Federated Learning-Based Privacy-Preserving Record Matching

Author: Zervas, Michail, Karakasidis, Alexandros, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Tekli, Joe, editor, Gamper, Johann, editor, Chbeir, Richard, editor, Manolopoulos, Yannis, editor, Sassi, Salma, editor, Ivanovic, Mirjana, editor, Vargas-Solar, Genoveva, editor, and Zumpano, Ester, editor
Published: 2025
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18. Federated Prompt Tuning: When is it Necessary?

Author: Mei, Jian-Ping, Lu, Chunlong, Guan, Yuhao, Lv, Mingqi, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Hadfi, Rafik, editor, Anthony, Patricia, editor, Sharma, Alok, editor, Ito, Takayuki, editor, and Bai, Quan, editor
Published: 2025
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19. Preserving Individual User’s Right to Be Forgotten in Enterprise-Level Federated Learning

Author: Fu, Chaohao, Zhou, Yun, Ruan, Na, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Hadfi, Rafik, editor, Anthony, Patricia, editor, Sharma, Alok, editor, Ito, Takayuki, editor, and Bai, Quan, editor
Published: 2025
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20. Multi-party Collaborative Hate Speech Study on Social Media via Personalized Federated Learning

Author: Yin, Junhao, Hu, Xiran, Zhao, Geng, Wang, Guochang, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Hadfi, Rafik, editor, Anthony, Patricia, editor, Sharma, Alok, editor, Ito, Takayuki, editor, and Bai, Quan, editor
Published: 2025
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21. FedSD: Cross-Heterogeneous Federated Learning Based on Self-distillation

Author: Chen, Haiwen, Yu, Songcan, Zhao, Shupeng, Wang, Junbo, Zhu, Kaiming, Sato, Kento, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Hadfi, Rafik, editor, Anthony, Patricia, editor, Sharma, Alok, editor, Ito, Takayuki, editor, and Bai, Quan, editor
Published: 2025
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22. The Integration of Federated Learning Techniques in Predictive Aircraft Maintenance Using Cloud Services

Author: Tigchelaar, Kim, Mohammadi Ziabari, Seyed Sahand, Mulder, Jeroen, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Wu, Shiqing, editor, Su, Xing, editor, Xu, Xiaolong, editor, and Kang, Byeong Ho, editor
Published: 2025
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23. A Variational Approach to Personalized Federated Learning and Its Improvement

Author: Wu, Huiwen, Zhang, Shuo, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Wu, Shiqing, editor, Su, Xing, editor, Xu, Xiaolong, editor, and Kang, Byeong Ho, editor
Published: 2025
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24. P2FL: Privacy-Preserving Federated Learning Approach for Healthcare Informatics at the Edge

Author: Ullah, Farhan, Mostarda, Leonardo, Cacciagrano, Diletta, Naeem, Hamad, Ullah, Shamsher, Chaudhary, Pradeep, Zhao, Yue, Xhafa, Fatos, Series Editor, and Barolli, Leonard, editor
Published: 2025
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25. A Novel Integration of Federated Learning and LSTM for Synthetic Time Series Generation

Author: Singh, Gurjot, Sharma, Pritika, Bedi, Jatin, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Santos, Manuel Filipe, editor, Machado, José, editor, Novais, Paulo, editor, Cortez, Paulo, editor, and Moreira, Pedro Miguel, editor
Published: 2025
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26. Acute Pancreatitis Mortality Prediction with Federated Learning

Author: Vieira, Pedro, Maia, Eva, Praça, Isabel, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Santos, Manuel Filipe, editor, Machado, José, editor, Novais, Paulo, editor, Cortez, Paulo, editor, and Moreira, Pedro Miguel, editor
Published: 2025
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27. Dynamic Staleness Control for Asynchronous Federated Learning in Decentralized Topology

Author: Ma, Qianpiao, Liu, Jianchun, Jia, Qingmin, Zhou, Xiaomao, Hu, Yujiao, Xie, Renchao, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cai, Zhipeng, editor, Takabi, Daniel, editor, Guo, Shaoyong, editor, and Zou, Yifei, editor
Published: 2025
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28. CoR-FHD: Communication-Efficient and Robust Federated Hyperdimensional Computing for Activity Recognition

Author: Guo, Yutong, Zhan, Ziwei, Chen, Xu, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cai, Zhipeng, editor, Takabi, Daniel, editor, Guo, Shaoyong, editor, and Zou, Yifei, editor
Published: 2025
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29. Federated Learning for Edge Heterogeneous Object Detection Algorithm

Author: Hu, Yanxin, Liu, Gang, Cheng, Chao, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cai, Zhipeng, editor, Takabi, Daniel, editor, Guo, Shaoyong, editor, and Zou, Yifei, editor
Published: 2025
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30. FedDAGC: Dynamic Adaptive Graph Coarsening for Federated Learning on Non-IID Graphs

Author: Zhang, Chengxi, Hu, Chunqiang, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cai, Zhipeng, editor, Takabi, Daniel, editor, Guo, Shaoyong, editor, and Zou, Yifei, editor
Published: 2025
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31. Defending Against Poisoning Attacks in Federated Prototype Learning on Non-IID Data

Author: Zhang, Jie, Zhang, Hongliang, Wang, Guijuan, Dong, Anming, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cai, Zhipeng, editor, Takabi, Daniel, editor, Guo, Shaoyong, editor, and Zou, Yifei, editor
Published: 2025
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32. FedMQ: Multi-grained Quantization for Heterogeneous Federated Learning

Author: Cao, Mei, Zhang, Tingting, Zhang, Bowen, Lu, Jianbo, Shen, Zhaoyan, Zhao, Mengying, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cai, Zhipeng, editor, Takabi, Daniel, editor, Guo, Shaoyong, editor, and Zou, Yifei, editor
Published: 2025
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33. Federated Dynamic Graph Fusion Framework for Remaining Useful Life Prediction

Author: Wang, Jun, Wang, Qi, Li, Mingyi, Zhang, Xiao, Yu, Dongxiao, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cai, Zhipeng, editor, Takabi, Daniel, editor, Guo, Shaoyong, editor, and Zou, Yifei, editor
Published: 2025
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34. Distributed and Personalized Federated Learning in Wireless Ad Hoc Networks

Author: Huang, Baogui, Wang, Bei, Li, Xiangqian, Ma, Chunmei, Li, Guangshun, Lai, Qingliang, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cai, Zhipeng, editor, Takabi, Daniel, editor, Guo, Shaoyong, editor, and Zou, Yifei, editor
Published: 2025
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35. FedDCT: A Dynamic Cross-Tier Federated Learning Framework in Wireless Networks

Author: Xian, Youquan, Gan, Xiaoyun, Yao, Chuanjian, Li, Dongcheng, Wang, Peng, Liu, Peng, Zhao, Ying, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cai, Zhipeng, editor, Takabi, Daniel, editor, Guo, Shaoyong, editor, and Zou, Yifei, editor
Published: 2025
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36. FedDue: Optimizing Personalized Federated Learning Through Dynamic Update Classifier

Author: Li, Dongrun, Wang, Xin, Wang, Yanhan, Yang, Ming, Wu, Xiaoming, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cai, Zhipeng, editor, Takabi, Daniel, editor, Guo, Shaoyong, editor, and Zou, Yifei, editor
Published: 2025
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37. Byzantine-Robust Federated Learning Based on Blockchain

Author: Song, Lihua, Cai, Chenying, Wei, Shuhua, Banerjee, Rochishnu, Feng, Xianglong, Jiang, Honglu, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cai, Zhipeng, editor, Takabi, Daniel, editor, Guo, Shaoyong, editor, and Zou, Yifei, editor
Published: 2025
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38. Defense Strategy in Federated Learning: Unveiling Stealthy Threats and the Similarity Filter Solution

Author: Jiang, Peng, Fang, Liming, Ding, Ming, Zhou, Lu, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cai, Zhipeng, editor, Takabi, Daniel, editor, Guo, Shaoyong, editor, and Zou, Yifei, editor
Published: 2025
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39. FedScale: A Federated Unlearning Method Mimicking Human Forgetting Processes

Author: Huang, Wenshu, Wu, Huiwen, Fang, Liming, Zhou, Lu, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cai, Zhipeng, editor, Takabi, Daniel, editor, Guo, Shaoyong, editor, and Zou, Yifei, editor
Published: 2025
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40. FedTSA: A Cluster-Based Two-Stage Aggregation Method for Model-Heterogeneous Federated Learning

Author: Fan, Boyu, Wu, Chenrui, Su, Xiang, Hui, Pan, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Leonardis, Aleš, editor, Ricci, Elisa, editor, Roth, Stefan, editor, Russakovsky, Olga, editor, Sattler, Torsten, editor, and Varol, Gül, editor
Published: 2025
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41. Decentor: The Rise of Intelligent Edge Devices

Author: Costa, Diogo, Costa, Miguel, Monteiro, João, Gomes, Tiago, Pinto, Sandro, Li, Gang, Series Editor, Filipe, Joaquim, Series Editor, Ghosh, Ashish, Series Editor, Xu, Zhiwei, Series Editor, Anutariya, Chutiporn, editor, Bonsangue, Marcello M., editor, Budhiarti-Nababan, Erna, editor, and Sitompul, Opim Salim, editor
Published: 2025
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42. FLGAN-IDS: Intrusion Detection Using GANs with Federated Learning

Author: Sarkar, Pallab Kumar, Nguyen, Huu-Hoa, Farid, Dewan Md., Li, Gang, Series Editor, Filipe, Joaquim, Series Editor, Ghosh, Ashish, Series Editor, Xu, Zhiwei, Series Editor, Thai-Nghe, Nguyen, editor, Do, Thanh-Nghi, editor, and Benferhat, Salem, editor
Published: 2025
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43. Local Reactivation for Communication Efficient Federated Learning Based on Sparse Gradient Deviation

Author: Mu, Chang, Zhang, Ziyang, Tian, Xiang, Guo, Kailing, Xu, Xiangmin, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Lin, Zhouchen, editor, Cheng, Ming-Ming, editor, He, Ran, editor, Ubul, Kurban, editor, Silamu, Wushouer, editor, Zha, Hongbin, editor, Zhou, Jie, editor, and Liu, Cheng-Lin, editor
Published: 2025
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44. Users Collaborative Computing for Hierarchical Federated Learning Based on Incentive Mechanism

Author: Zhuang, Bei, Lin, Shangjing, Li, Yueying, Ma, Ji, Tian, Jin, Zhang, Chunhong, Hu, Zheng, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Chen, Xiang, editor, Wang, Xijun, editor, Lin, Shangjing, editor, and Liu, Jing, editor
Published: 2025
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45. Cloud Gaming Resource Management Platform Based on Edge Intelligence

Author: Yang, Hu, Yunsong, Xie, Jiaye, Li, Xunjie, Su, Maoyu, Wang, Guanlin, Li, Shangjing, Lin, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Chen, Xiang, editor, Wang, Xijun, editor, Lin, Shangjing, editor, and Liu, Jing, editor
Published: 2025
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46. Intrusion Detection at the IoT Edge Using Federated Learning

Author: Pope, James, Spyridopoulos, Theodoros, Kumar, Vijay, Raimondo, Francesco, Gunner, Sam, Oikonomou, George, Pasquier, Thomas, McConville, Ryan, Carnelli, Pietro, Sanchez-Mompo, Adrian, Mavromatis, Ioannis, Khan, Aftab, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Pitropakis, Nikolaos, editor, and Katsikas, Sokratis, editor
Published: 2025
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47. Design of Secure IoMT Networks Using a Federated Learning Approach

Author: Sahu, Hemant, Joshi, N. K., Chande, Swati V., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Goar, Vishal, editor, Kuri, Manoj, editor, Kumar, Rajesh, editor, and Senjyu, Tomonobu, editor
Published: 2025
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48. A New Distributed Approach to Leveraging AI for Sustainable Healthcare in Smart Cities

Author: Babar, Muhammad, Qureshi, Basit, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Lu, Xinzheng, Series Editor, Mansour, Yasser, editor, Subramaniam, Umashankar, editor, Mustaffa, Zahiraniza, editor, Abdelhadi, Abdelhakim, editor, Al-Atroush, Mohamed, editor, and Abowardah, Eman, editor
Published: 2025
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49. Secure Federated Distillation Framework for Encrypted Traffic Classification

Author: Teng, Long, Feng, Qi, Zhao, Wei, Luo, Min, He, Debiao, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Xia, Zhe, editor, and Chen, Jiageng, editor
Published: 2025
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50. Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents

Author: Jia, Yuqi, Vahidian, Saeed, Sun, Jingwei, Zhang, Jianyi, Kungurtsev, Vyacheslav, Gong, Neil Zhenqiang, Chen, Yiran, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Leonardis, Aleš, editor, Ricci, Elisa, editor, Roth, Stefan, editor, Russakovsky, Olga, editor, Sattler, Torsten, editor, and Varol, Gül, editor
Published: 2025
Full Text: View/download PDF

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