non-iid data

Federated Graph-Level Clustering Network AAAI 2025 FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields ICCV 2025 FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning CVPR 2025 FedPop: Federated Population-based Hyperparameter Tuning AAAI 2025 FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis AAAI 2025 FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition IJCAI 2025 Heterogeneous Federated Learning with Scalable Server Mixture-of-Experts IJCAI 2025 Identify Backdoored Model in Federated Learning via Individual Unlearning WACV 2025 MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay AAAI 2025 On the Importance of Language-driven Representation Learning for Heterogeneous Federated Learning ICLR 2025 Optimising Clinical Federated Learning through Mode Connectivity-based Model Aggregation AISTATS 2025 BOBA: Byzantine-Robust Federated Learning with Label Skewness AISTATS 2024 Confusion-Resistant Federated Learning via Diffusion-Based Data Harmonization on Non-IID Data NeurIPS 2024 Dual Calibration-based Personalised Federated Learning IJCAI 2024 Exploiting Label Skews in Federated Learning with Model Concatenation AAAI 2024 FBLG: A Local Graph Based Approach for Handling Dual Skewed Non-IID Data in Federated Learning IJCAI 2024 FedAS: Bridging Inconsistency in Personalized Federated Learning CVPR 2024 Federated Causality Learning with Explainable Adaptive Optimization AAAI 2024 FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation NeurIPS 2024 FedST: Federated Style Transfer Learning for Non-IID Image Segmentation AAAI 2024 FedUV: Uniformity and Variance for Heterogeneous Federated Learning CVPR 2024 Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models EMNLP 2024 Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning NeurIPS 2024 HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links NeurIPS 2024 Knowledge-Aware Parameter Coaching for Personalized Federated Learning AAAI 2024