federated learning

Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces AAAI 2023 Efficient Federated Domain Translation ICLR 2023 Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation ICCV 2023 Efficient On-Device Training via Gradient Filtering CVPR 2023 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 Elastic Aggregation for Federated Optimization CVPR 2023 Eliminating Domain Bias for Federated Learning in Representation Space NeurIPS 2023 Empirical Study of Federated Unlearning: Efficiency and Effectiveness ACML 2023 Enhancing Privacy Preservation in Federated Learning via Learning Rate Perturbation ICCV 2023 EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data ICLR 2023 Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction NeurIPS 2023 EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated Learning NeurIPS 2023 FairFed: Enabling Group Fairness in Federated Learning AAAI 2023 Fair Federated Medical Image Segmentation via Client Contribution Estimation CVPR 2023 Fair yet Asymptotically Equal Collaborative Learning ICML 2023 Faster Adaptive Federated Learning AAAI 2023 Faster federated optimization under second-order similarity ICLR 2023 Fast Federated Machine Unlearning with Nonlinear Functional Theory ICML 2023 Fast Heterogeneous Federated Learning with Hybrid Client Selection UAI 2023 Fast Optimal Locally Private Mean Estimation via Random Projections NeurIPS 2023 FedABC: Targeting Fair Competition in Personalized Federated Learning AAAI 2023 FedALA: Adaptive Local Aggregation for Personalized Federated Learning AAAI 2023 FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks ICML 2023 FedBFPT: An Efficient Federated Learning Framework for Bert Further Pre-training IJCAI 2023