670 results on '"Salman Avestimehr, A."'
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52. Analog Secret Sharing With Applications to Private Distributed Learning.
53. Info-Commit: Information-Theoretic Polynomial Commitment.
54. Privacy in Retrieval, Computing, and Learning.
55. Private Retrieval, Computing, and Learning: Recent Progress and Future Challenges.
56. Basil: A Fast and Byzantine-Resilient Approach for Decentralized Training.
57. 3LegRace: Privacy-Preserving DNN Training over TEEs and GPUs.
58. HeteroSAg: Secure Aggregation With Heterogeneous Quantization in Federated Learning.
59. Federated Learning for the Internet of Things: Applications, Challenges, and Opportunities.
60. CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning.
61. mL-BFGS: A Momentum-based L-BFGS for Distributed Large-scale Neural Network Optimization.
62. Overcoming Resource Constraints in Federated Learning: Large Models Can Be Trained with only Weak Clients.
63. Revisiting Sparsity Hunting in Federated Learning: Why does Sparsity Consensus Matter?
64. Distributed Architecture Search Over Heterogeneous Distributions.
65. SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models.
66. Secure Aggregation in Federated Learning is not Private: Leaking User Data at Large Scale through Model Modification.
67. GPT-FL: Generative Pre-trained Model-Assisted Federated Learning.
68. Secure Federated Learning against Model Poisoning Attacks via Client Filtering.
69. Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning.
70. All Rivers Run to the Sea: Private Learning with Asymmetric Flows.
71. FedML Parrot: A Scalable Federated Learning System via Heterogeneity-aware Scheduling on Sequential and Hierarchical Training.
72. FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things.
73. Federated Analytics: A survey.
74. FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System.
75. Kick Bad Guys Out! Zero-Knowledge-Proof-Based Anomaly Detection in Federated Learning.
76. FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs.
77. Don't Memorize; Mimic The Past: Federated Class Incremental Learning Without Episodic Memory.
78. Federated Learning for Clients’ Data Privacy Assurance in Food Service Industry
79. An Ensemble Approach to Automatic Brain Tumor Segmentation.
80. Federated Learning for Internet of Things.
81. Jupiter: a networked computing architecture.
82. Tactical Jupiter: Dynamic Scheduling of Dispersed Computations in Tactical MANETs.
83. Analog Privacy-Preserving Coded Computing.
84. List-Decodable Coded Computing: Breaking the Adversarial Toleration Barrier.
85. PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models.
86. Coded Computing for Boolean Functions.
87. Coded Merkle Tree: Solving Data Availability Attacks in Blockchains.
88. Collage Inference: Using Coded Redundancy for Lowering Latency Variation in Distributed Image Classification Systems.
89. Coded Computing in Unknown Environment via Online Learning.
90. Entangled Polynomial Codes for Secure, Private, and Batch Distributed Matrix Multiplication: Breaking the 'Cubic' Barrier.
91. Interactive Verifiable Polynomial Evaluation.
92. Hierarchical Coded Gradient Aggregation for Learning at the Edge.
93. PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously.
94. Self-Aware Personalized Federated Learning.
95. FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings.
96. LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning.
97. PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously.
98. CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning.
99. Analog Lagrange Coded Computing.
100. Interactive Verifiable Polynomial Evaluation.
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