Skip to content
conftrace_

communication efficiency

330 papers

Papers

Proximal and Federated Random Reshuffling ICML 2022 Resilient and Communication Efficient Learning for Heterogeneous Federated Systems ICML 2022 Resource-Adaptive Federated Learning with All-In-One Neural Composition NeurIPS 2022 Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis ICML 2022 Scaling Language Model Size in Cross-Device Federated Learning ACL 2022 Secure Distributed Training at Scale ICML 2022 Shifted compression framework: generalizations and improvements UAI 2022 SmartIdx: Reducing Communication Cost in Federated Learning by Exploiting the CNNs Structures AAAI 2022 Solving Multi-Arm Bandit Using a Few Bits of Communication AISTATS 2022 Statistical Estimation and Online Inference via Local SGD COLT 2022 Theoretically Better and Numerically Faster Distributed Optimization with Smoothness-Aware Quantization Techniques NeurIPS 2022 Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning NeurIPS 2022 Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps NeurIPS 2022 Accelerating Gossip SGD with Periodic Global Averaging ICML 2021 A Flexible Framework for Communication-Efficient Machine Learning AAAI 2021 CADA: Communication-Adaptive Distributed Adam AISTATS 2021 Communication-Aware Collaborative Learning AAAI 2021 Communication-Efficient Agnostic Federated Averaging Interspeech 2021 Communication-efficient and Scalable Decentralized Federated Edge Learning IJCAI 2021 Communication-Efficient Distributed SVD via Local Power Iterations ICML 2021 Communication-Efficient Frank-Wolfe Algorithm for Nonconvex Decentralized Distributed Learning AAAI 2021 Communication efficient parallel reinforcement learning UAI 2021 Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization AISTATS 2021 Communication-efficient SGD: From Local SGD to One-Shot Averaging NeurIPS 2021 Communication Efficient SGD via Gradient Sampling With Bayes Prior CVPR 2021