communication overhead

Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits ICLR 2023 Complement Sparsification: Low-Overhead Model Pruning for Federated Learning AAAI 2023 FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment IJCAI 2023 FedID: Federated Interactive Distillation for Large-Scale Pretraining Language Models EMNLP 2023 FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models ACL 2023 Globally Consistent Federated Graph Autoencoder for Non-IID Graphs IJCAI 2023 Single-shot General Hyper-parameter Optimization for Federated Learning ICLR 2023 DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks ICML 2022 Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? ICLR 2022 P3: Distributed Deep Graph Learning at Scale OSDI 2021 Learning Individually Inferred Communication for Multi-Agent Cooperation NeurIPS 2020 ATOMO: Communication-efficient Learning via Atomic Sparsification NeurIPS 2018