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non-iid data

132 papers

NON-I.I.D. NON-IID

Papers

LEAP: Optimization Hierarchical Federated Learning on Non-IID Data with Coalition Formation Game IJCAI 2024 Momentum Benefits Non-iid Federated Learning Simply and Provably ICLR 2024 On-Demand Federated Learning for Arbitrary Target Class Distributions AISTATS 2024 On the Convergence of Hierarchical Federated Learning with Partial Worker Participation UAI 2024 Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data NeurIPS 2024 Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data CVPR 2024 Tackling the Data Heterogeneity in Asynchronous Federated Learning with Cached Update Calibration ICLR 2024 Achieving Linear Speedup in Non-IID Federated Bilevel Learning ICML 2023 Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration ICCV 2023 Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting ICML 2023 Class Balanced Adaptive Pseudo Labeling for Federated Semi-Supervised Learning CVPR 2023 Decentralized Learning With Multi-Headed Distillation CVPR 2023 DynaFed: Tackling Client Data Heterogeneity With Global Dynamics CVPR 2023 Efficient Federated Domain Translation ICLR 2023 Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction NeurIPS 2023 FedABC: Targeting Fair Competition in Personalized Federated Learning AAAI 2023 Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction ICML 2023 Federated Cross Learning for Medical Image Segmentation MIDL 2023 Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization EMNLP 2023 Federated Learning on Non-IID Graphs via Structural Knowledge Sharing AAAI 2023 Federated Learning via Meta-Variational Dropout NeurIPS 2023 Federated Learning With Data-Agnostic Distribution Fusion CVPR 2023 Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning AAAI 2023 FedFA: Federated Feature Augmentation ICLR 2023 FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP ACL 2023