conftrace_

client heterogeneity

44 papers

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Co-occurring keywords

federated learning (1333) personalized model (89) personalized federated learning (50) model aggregation (156) distributed learning (563) non-iid datum (109) communication efficiency (297) distributed optimization (275) domain adaptation (4595) personalized learning (60)

Papers

Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs AAAI 2026
FedCCH: Automatic Personalized Graph Federated Learning for Inter-Client and Intra-Client Heterogeneity IJCAI 2025
Federated Learning at the Forefront of Fairness: A Multifaceted Perspective IJCAI 2025
Flexible Sharpness-Aware Personalized Federated Learning AAAI 2025
Population Normalization for Federated Learning CVPR 2025
PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning AAAI 2025
TransFed: A Way To Epitomize Focal Modulation Using Transformer-Based Federated Learning WACV 2024
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts AAAI 2024
Language-Guided Transformer for Federated Multi-Label Classification AAAI 2024
Personalized Federated X-armed Bandit AISTATS 2024
Communication-Efficient Federated Learning With Data and Client Heterogeneity AISTATS 2024
Personalized Federated Learning via Feature Distribution Adaptation NIPS 2024
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs NIPS 2024
Federated Linear Contextual Bandits with Heterogeneous Clients AISTATS 2024
Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters AISTATS 2024
Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks IJCAI 2024
Formal Logic Enabled Personalized Federated Learning through Property Inference AAAI 2024
FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting AAAI 2024
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning CVPR 2024
FedHCA2: Towards Hetero-Client Federated Multi-Task Learning CVPR 2024
Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors NIPS 2024
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning CVPR 2024
Efficient Personalized Federated Learning via Sparse Model-Adaptation ICML 2023
How To Prevent the Poor Performance Clients for Personalized Federated Learning? CVPR 2023
FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization ICML 2023