Skip to content
conftrace_

data heterogeneity

162 papers

Papers

Anchor Sampling for Federated Learning with Partial Client Participation ICML 2023 A Non-parametric View of FedAvg and FedProx:Beyond Stationary Points JMLR 2023 Behavior Estimation from Multi-Source Data for Offline Reinforcement Learning AAAI 2023 Combating Exacerbated Heterogeneity for Robust Models in Federated Learning ICLR 2023 Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision? ICLR 2023 Efficient Federated Domain Translation ICLR 2023 FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks ICML 2023 FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction ICML 2023 Fed-CO$_{2}$: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning NeurIPS 2023 FedDisco: Federated Learning with Discrepancy-Aware Collaboration ICML 2023 Federated Conformal Predictors for Distributed Uncertainty Quantification ICML 2023 FedFed: Feature Distillation against Data Heterogeneity in Federated Learning NeurIPS 2023 FedPD: Federated Open Set Recognition with Parameter Disentanglement ICCV 2023 Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity AISTATS 2023 Flow: Per-instance Personalized Federated Learning NeurIPS 2023 Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition NeurIPS 2023 H-nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous Datasets NeurIPS 2023 Measure the Predictive Heterogeneity ICLR 2023 Meta Knowledge Condensation for Federated Learning ICLR 2023 Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training? JMLR 2023 Modeling with Homophily Driven Heterogeneous Data in Gossip Learning IJCAI 2023 One-Pass Distribution Sketch for Measuring Data Heterogeneity in Federated Learning NeurIPS 2023 On the Effectiveness of Partial Variance Reduction in Federated Learning With Heterogeneous Data CVPR 2023 PerFedMask: Personalized Federated Learning with Optimized Masking Vectors ICLR 2023 Personalized Federated Learning with Feature Alignment and Classifier Collaboration ICLR 2023