conftrace_

non-iid datum

109 papers

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Co-occurring keywords

federated learning (1333) model aggregation (156) personalized model (89) knowledge distillation (3725) distributed learning (563) domain adaptation (4595) data heterogeneity (115) privacy preservation (380) convergence analysis (395) client selection (23)

Papers

Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction NIPS 2023
Towards Personalized Federated Learning via Heterogeneous Model Reassembly NIPS 2023
Multi-Metrics Adaptively Identifies Backdoors in Federated Learning ICCV 2023
Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Federated Object Detection NIPS 2023
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing AAAI 2023
Structured Federated Learning through Clustered Additive Modeling NIPS 2023
FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP ACL 2023
FedABC: Targeting Fair Competition in Personalized Federated Learning AAAI 2023
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting ICML 2023
Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning AAAI 2023
Federated Cross Learning for Medical Image Segmentation MIDL 2023
Optimizing the Collaboration Structure in Cross-Silo Federated Learning ICML 2023
Federated Learning With Data-Agnostic Distribution Fusion CVPR 2023
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis ICCV 2023
FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation AAAI 2023
When Do Curricula Work in Federated Learning? ICCV 2023
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization EMNLP 2023
Class Balanced Adaptive Pseudo Labeling for Federated Semi-Supervised Learning CVPR 2023
DynaFed: Tackling Client Data Heterogeneity With Global Dynamics CVPR 2023
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction ICML 2023
Decentralized Learning With Multi-Headed Distillation CVPR 2023
Fairness in Federated Learning via Core-Stability NIPS 2022
Asynchronous Personalized Federated Learning with Irregular Clients ACML 2022
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning IJCAI 2022
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images AAAI 2022