CRAD: Class-wise Reliability-Aware Distillation for Decentralized Heterogeneous Federated Learning
cs.LG, cs.CV
Submitted: 2026-08-31
Updated: 2026-08-31
Terminology
Sources
- Personalized Decentralized Federated Learning with Knowledge Distillation
- A Thorough Assessment of the Non-IID Data Impact in Federated Learning
- DFML: Decentralized Federated Mutual Learning
- FedMD: Heterogenous Federated Learning via Model Distillation
- Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
- Federated Proximal Optimization for Privacy-Preserving Heart Disease Prediction: A Controlled Simulation Study on Non-IID Clinical Data
- Adaptive Personalized Federated Learning
- Personalized Federated Learning with Moreau Envelopes
- A Survey on Model-heterogeneous Federated Learning: Problems, Methods, and Prospects
- Distilling the Knowledge in a Neural Network
- Federated Learning with Non-IID Data
- Federated Learning with Regularized Client Participation
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