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data heterogeneity

115 papers

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Co-occurring keywords

federated learning (1333) model aggregation (156) distributed learning (563) knowledge distillation (3725) communication efficiency (297) heterogeneous datum (119) convergence analysis (395) client selection (23) non-iid datum (109) distributed optimization (275)

Papers

A Non-parametric View of FedAvg and FedProx:Beyond Stationary Points JMLR 2023
Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training? JMLR 2023
Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity NIPS 2023
One-Pass Distribution Sketch for Measuring Data Heterogeneity in Federated Learning NIPS 2023
Revisiting Weighted Aggregation in Federated Learning with Neural Networks ICML 2023
Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources ICML 2023
Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity AISTATS 2023
FedPD: Federated Open Set Recognition with Parameter Disentanglement ICCV 2023
When Do Curricula Work in Federated Learning? ICCV 2023
Tackling Data Heterogeneity in Federated Learning with Class Prototypes AAAI 2023
Behavior Estimation from Multi-Source Data for Offline Reinforcement Learning AAAI 2023
On the Effectiveness of Partial Variance Reduction in Federated Learning With Heterogeneous Data CVPR 2023
Modeling with Homophily Driven Heterogeneous Data in Gossip Learning IJCAI 2023
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction ICML 2023
Anchor Sampling for Federated Learning with Partial Client Participation ICML 2023
Personalized Federated Learning with Inferred Collaboration Graphs ICML 2023
FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks ICML 2023
FedDisco: Federated Learning with Discrepancy-Aware Collaboration ICML 2023
Flow: Per-instance Personalized Federated Learning NIPS 2023
Fed-CO$_{2}$: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning NIPS 2023
FedFed: Feature Distillation against Data Heterogeneity in Federated Learning NIPS 2023
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning ICML 2022
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning CVPR 2022
Mean Estimation with User-level Privacy under Data Heterogeneity NIPS 2022
Preservation of the Global Knowledge by Not-True Distillation in Federated Learning NIPS 2022