personalized federated learning

Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization ICML 2024 Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks IJCAI 2024 FedAS: Bridging Inconsistency in Personalized Federated Learning CVPR 2024 FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning CVPR 2024 FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference NeurIPS 2024 Late to the Party? On-Demand Unlabeled Personalized Federated Learning WACV 2024 Low-Resource Machine Translation through the Lens of Personalized Federated Learning EMNLP 2024 MetaVers: Meta-Learned Versatile Representations for Personalized Federated Learning WACV 2024 PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search AAAI 2024 Personalized Federated Learning via Feature Distribution Adaptation NeurIPS 2024 Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning NeurIPS 2024 pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning NeurIPS 2024 Characterizing Internal Evasion Attacks in Federated Learning AISTATS 2023 FedABC: Targeting Fair Competition in Personalized Federated Learning AAAI 2023 FedALA: Adaptive Local Aggregation for Personalized Federated Learning AAAI 2023 FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization ICML 2023 Federated Asymptotics: a model to compare federated learning algorithms AISTATS 2023 GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning ICCV 2023 How To Prevent the Poor Performance Clients for Personalized Federated Learning? CVPR 2023 Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning JMLR 2023 Personalized Federated Learning under Mixture of Distributions ICML 2023 Personalized Semantics Excitation for Federated Image Classification ICCV 2023 PGFed: Personalize Each Client's Global Objective for Federated Learning ICCV 2023 PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning. NeurIPS 2023 Spectral Co-Distillation for Personalized Federated Learning NeurIPS 2023