communication efficiency

Efficient Personalized Federated Learning via Sparse Model-Adaptation ICML 2023 Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout AAAI 2023 EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated Learning NeurIPS 2023 Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation NeurIPS 2023 Fast Distributed k-Means with a Small Number of Rounds AISTATS 2023 Faster Adaptive Federated Learning AAAI 2023 FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning CVPR 2023 FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer IJCAI 2023 FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks NeurIPS 2023 FedLab: A Flexible Federated Learning Framework JMLR 2023 FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning IJCAI 2023 GradMA: A Gradient-Memory-Based Accelerated Federated Learning With Alleviated Catastrophic Forgetting CVPR 2023 How2comm: Communication-Efficient and Collaboration-Pragmatic Multi-Agent Perception NeurIPS 2023 Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates NeurIPS 2023 Incentivized Communication for Federated Bandits NeurIPS 2023 Layer-Wise Adaptive Model Aggregation for Scalable Federated Learning AAAI 2023 LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning ICML 2023 Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training NeurIPS 2023 Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam ICLR 2023 Meta Knowledge Condensation for Federated Learning ICLR 2023 Nothing but Regrets — Privacy-Preserving Federated Causal Discovery AISTATS 2023 On Generalization of Decentralized Learning with Separable Data AISTATS 2023 Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design ICML 2023 Private Federated Learning with Autotuned Compression ICML 2023 Reducing Communication for Split Learning by Randomized Top-k Sparsification IJCAI 2023