communication efficiency

EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization NeurIPS 2022 Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation EMNLP 2022 Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization ICLR 2022 Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning NeurIPS 2022 Faster non-convex federated learning via global and local momentum UAI 2022 Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better AAAI 2022 Federated Minimax Optimization: Improved Convergence Analyses and Algorithms ICML 2022 Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling ICML 2022 FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning ICML 2022 FedNL: Making Newton-Type Methods Applicable to Federated Learning ICML 2022 FedPara: Low-rank Hadamard Product for Communication-Efficient Federated Learning ICLR 2022 FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning AISTATS 2022 Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers ICML 2022 Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning NeurIPS 2022 Intrinsic Gradient Compression for Scalable and Efficient Federated Learning ACL 2022 Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks ICLR 2022 Multi-Agent Incentive Communication via Decentralized Teammate Modeling AAAI 2022 Multi-Agent Reinforcement Learning for Traffic Signal Control through Universal Communication Method IJCAI 2022 Neural Tangent Kernel Empowered Federated Learning ICML 2022 Optimal Compression of Locally Differentially Private Mechanisms AISTATS 2022 Personalized Federated Learning towards Communication Efficiency, Robustness and Fairness NeurIPS 2022 Personalized Online Federated Learning with Multiple Kernels NeurIPS 2022 Privacy-aware compression for federated data analysis UAI 2022 Private and Communication-Efficient Algorithms for Entropy Estimation NeurIPS 2022 ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training ICML 2022