Federated Learning

Distributed Sparse Regression via Penalization JMLR 2023 Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision? ICLR 2023 Doubly Adversarial Federated Bandits ICML 2023 DPAUC: Differentially Private AUC Computation in Federated Learning AAAI 2023 Dropout Is NOT All You Need to Prevent Gradient Leakage AAAI 2023 Dropout-Resilient Secure Multi-Party Collaborative Learning with Linear Communication Complexity AISTATS 2023 DynaFed: Tackling Client Data Heterogeneity With Global Dynamics CVPR 2023 Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape ICML 2023 Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model AAAI 2023 Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout AISTATS 2023 Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces AAAI 2023 Efficient On-Device Training via Gradient Filtering CVPR 2023 Elastic Aggregation for Federated Optimization CVPR 2023 Empirical Study of Federated Unlearning: Efficiency and Effectiveness ACML 2023 Enhancing Privacy Preservation in Federated Learning via Learning Rate Perturbation ICCV 2023 Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction NeurIPS 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 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 Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction ICML 2023 FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization ICML 2023