data heterogeneity

One-shot Federated Learning Methods: A Practical Guide IJCAI 2025 Optimising Clinical Federated Learning through Mode Connectivity-based Model Aggregation AISTATS 2025 Problem-Parameter-Free Federated Learning ICLR 2025 Progressive Distribution Matching for Federated Semi-Supervised Learning AAAI 2025 Rethinking Federated Graph Learning: A Data Condensation Perspective IJCAI 2025 Scalability Enhancement and Data-Heterogeneity Awareness in Gradient Tracking based Decentralized Bayesian Learning L4DC 2025 SparsyFed: Sparse Adaptive Federated Learning ICLR 2025 Tackling Intertwined Data and Device Heterogeneities in Federated Learning with Unlimited Staleness AAAI 2025 Understanding the Impact of Client Heterogeneity on Ordinal Classification in Federated Medical Image Analysis MIDL 2025 Unlocking the Potential of Model Calibration in Federated Learning ICLR 2025 Widening the Network Mitigates the Impact of Data Heterogeneity on FedAvg ICML 2025 You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data ICCV 2025 Adaptive Hyper-graph Aggregation for Modality-Agnostic Federated Learning CVPR 2024 An Aggregation-Free Federated Learning for Tackling Data Heterogeneity CVPR 2024 Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift NeurIPS 2024 CLIP-Guided Federated Learning on Heterogeneity and Long-Tailed Data AAAI 2024 Data Distribution Valuation NeurIPS 2024 Demystifying Local & Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition ICLR 2024 DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations AAAI 2024 Efficient Conformal Prediction under Data Heterogeneity AISTATS 2024 Fake It Till Make It: Federated Learning with Consensus-Oriented Generation ICLR 2024 FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants AAAI 2024 FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning AAAI 2024 FedDGL: Federated Dynamic Graph Learning for Temporal Evolution and Data Heterogeneity ACML 2024 Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks AISTATS 2024