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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

Efficient Conformal Prediction under Data Heterogeneity AISTATS 2024
The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication COLT 2024
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning CVPR 2024
Global and Local Prompts Cooperation via Optimal Transport for Federated Learning CVPR 2024
Adaptive Hyper-graph Aggregation for Modality-Agnostic Federated Learning CVPR 2024
One-shot Federated Learning via Synthetic Distiller-Distillate Communication NIPS 2024
Data Distribution Valuation NIPS 2024
FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning CVPR 2024
On the Role of Server Momentum in Federated Learning AAAI 2024
FedMut: Generalized Federated Learning via Stochastic Mutation AAAI 2024
An Aggregation-Free Federated Learning for Tackling Data Heterogeneity CVPR 2024
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations AAAI 2024
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning AAAI 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion NIPS 2024
Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning NIPS 2024
Knowledge Distillation in Federated Learning: A Practical Guide IJCAI 2024
Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning NIPS 2024
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data NIPS 2024
Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity AAAI 2024
Relaxed Contrastive Learning for Federated Learning CVPR 2024
H-nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous Datasets NIPS 2023
Federated Conformal Predictors for Distributed Uncertainty Quantification ICML 2023
Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data AISTATS 2023
Spectral Co-Distillation for Personalized Federated Learning NIPS 2023
Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition NIPS 2023