conftrace_

communication efficiency

297 papers

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Co-occurring keywords

federated learning (1333) distributed learning (563) distributed optimization (275) stochastic gradient descent (1091) model compression (3302) gradient compression (78) distributed training (188) stochastic optimization (1060) differential privacy (1016) decentralized learning (103)

Papers

3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation ICML 2022
Solving Multi-Arm Bandit Using a Few Bits of Communication AISTATS 2022
FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning AISTATS 2022
A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning AAAI 2022
Communication-Efficient Adaptive Federated Learning ICML 2022
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms ICML 2022
EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning ICML 2022
Proximal and Federated Random Reshuffling ICML 2022
Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps NIPS 2022
SmartIdx: Reducing Communication Cost in Federated Learning by Exploiting the CNNs Structures AAAI 2022
Privacy-aware compression for federated data analysis UAI 2022
Faster non-convex federated learning via global and local momentum UAI 2022
Shifted compression framework: generalizations and improvements UAI 2022
A Resilient Distributed Boosting Algorithm ICML 2022
Collaborative Learning of Discrete Distributions under Heterogeneity and Communication Constraints NIPS 2022
Statistical Estimation and Online Inference via Local SGD COLT 2022
Theoretically Better and Numerically Faster Distributed Optimization with Smoothness-Aware Quantization Techniques NIPS 2022
Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data ICML 2022
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training ICML 2022
Detached Error Feedback for Distributed SGD with Random Sparsification ICML 2022
Communication Efficient Distributed Learning for Kernelized Contextual Bandits NIPS 2022
Secure Distributed Training at Scale ICML 2022
Multi-Agent Incentive Communication via Decentralized Teammate Modeling AAAI 2022
Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better AAAI 2022
Resource-Adaptive Federated Learning with All-In-One Neural Composition NIPS 2022