non-i.i.d. data

Detecting and Measuring Confounding Using Causal Mechanism Shifts NeurIPS 2024 Feature Norm Regularized Federated Learning: Utilizing Data Disparities for Model Performance Gains IJCAI 2024 FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data ICML 2024 Hierarchical Federated Learning with Multi-Timescale Gradient Correction NeurIPS 2024 Achieving Linear Speedup in Non-IID Federated Bilevel Learning ICML 2023 Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout AISTATS 2023 Towards Instance-adaptive Inference for Federated Learning ICCV 2023 Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better AAAI 2022 Federated Learning with Label Distribution Skew via Logits Calibration ICML 2022 Personalized Federated Learning via Variational Bayesian Inference ICML 2022 Exploiting Shared Representations for Personalized Federated Learning ICML 2021 Fast Federated Learning in the Presence of Arbitrary Device Unavailability NeurIPS 2021 FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning ICLR 2021 Regularized Mutual Learning for Personalized Federated Learning ACML 2021