data heterogeneity

Federated Prompt Learning for Weather Foundation Models on Devices IJCAI 2024 FedFDD: Federated Learning with Frequency Domain Decomposition for Low-Dose CT Denoising MIDL 2024 FedImpro: Measuring and Improving Client Update in Federated Learning ICLR 2024 FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning ACML 2024 FedMut: Generalized Federated Learning via Stochastic Mutation AAAI 2024 Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity AAAI 2024 FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning CVPR 2024 FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning CVPR 2024 Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning NeurIPS 2024 FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion NeurIPS 2024 Global and Local Prompts Cooperation via Optimal Transport for Federated Learning CVPR 2024 Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning NeurIPS 2024 HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning NeurIPS 2024 Knowledge Distillation in Federated Learning: A Practical Guide IJCAI 2024 On-Demand Federated Learning for Arbitrary Target Class Distributions AISTATS 2024 One-shot Federated Learning via Synthetic Distiller-Distillate Communication NeurIPS 2024 On the Role of Server Momentum in Federated Learning AAAI 2024 Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning NeurIPS 2024 Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data NeurIPS 2024 Relaxed Contrastive Learning for Federated Learning CVPR 2024 Revisiting Ensembling in One-Shot Federated Learning NeurIPS 2024 Tackling the Data Heterogeneity in Asynchronous Federated Learning with Cached Update Calibration ICLR 2024 The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication COLT 2024 TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients AAAI 2024 Understanding Convergence and Generalization in Federated Learning through Feature Learning Theory ICLR 2024