670 results on '"Salman Avestimehr, A."'
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2. Loki: Large-scale Data Reconstruction Attack against Federated Learning through Model Manipulation.
3. FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs.
4. Revisiting OPRO: The Limitations of Small-Scale LLMs as Optimizers.
5. MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs.
6. LightVeriFL: A Lightweight and Verifiable Secure Aggregation for Federated Learning.
7. Hawk: Accurate and Fast Privacy-Preserving Machine Learning Using Secure Lookup Table Computation.
8. Edge Private Graph Neural Networks with Singular Value Perturbation.
9. Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning.
10. FedKDD: International Joint Workshop on Federated Learning for Data Mining and Graph Analytics.
11. ModalityMirror: Improving Audio Classification in Modality Heterogeneity Federated Learning with Multimodal Distillation.
12. PolyRouter: A Multi-LLM Querying System.
13. ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency.
14. CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning.
15. AICircuit: A Multi-Level Dataset and Benchmark for AI-Driven Analog Integrated Circuit Design.
16. ATP: Enabling Fast LLM Serving via Attention on Top Principal Keys.
17. Creating a Lens of Chinese Culture: A Multimodal Dataset for Chinese Pun Rebus Art Understanding.
18. Maverick-Aware Shapley Valuation for Client Selection in Federated Learning.
19. Federated Learning Privacy: Attacks, Defenses, Applications, and Policy Landscape - A Survey.
20. Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs.
21. Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training.
22. Federated Alternate Training (Fat): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging.
23. The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning.
24. TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training.
25. FedMultimodal: A Benchmark for Multimodal Federated Learning.
26. Proof-of-Contribution-Based Design for Collaborative Machine Learning on Blockchain.
27. FedAudio: A Federated Learning Benchmark for Audio Tasks.
28. Quantifying Catastrophic Forgetting in Continual Federated Learning.
29. Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning.
30. Layer-Wise Adaptive Model Aggregation for Scalable Federated Learning.
31. FairFed: Enabling Group Fairness in Federated Learning.
32. Erratum to "LightVeriFL: A Lightweight and Verifiable Secure Aggregation for Federated Learning".
33. Federated Learning of Generative Image Priors for MRI Reconstruction.
34. How Much Privacy Does Federated Learning with Secure Aggregation Guarantee?
35. Achieving small-batch accuracy with large-batch scalability via Hessian-aware learning rate adjustment.
36. One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis.
37. Experimenting FedML and NVFLARE for Federated Tumor Segmentation Challenge.
38. Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning.
39. Federated Learning with Noisy User Feedback.
40. FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks.
41. Federated K-Private Set Intersection.
42. On Multi-Round Privacy in Federated Learning.
43. Learnings from Federated Learning in The Real World.
44. On The Effectiveness of Active Learning by Uncertainty Sampling in Classification of High-Dimensional Gaussian Mixture Data.
45. Federated Learning Challenges and Opportunities: An Outlook.
46. Statistical Minimax Lower Bounds for Transfer Learning in Linear Binary Classification.
47. What If Kidney Tumor Segmentation Challenge (KiTS19) Never Happened.
48. SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data.
49. ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems.
50. A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks.
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