116 citations · 129 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 13 cited
Personalized Federated Continual Learning via Multi-granularity Prompt
Hao Yu, Xin Yang, Xin Gao +4
Personalized Federated Continual Learning (PFCL) is a new practical scenario that poses greater challenges in sharing and personalizing knowledge. PFCL not only relies on knowledge…
cs.LG2024
FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer
Xin Gao, Xin Yang, Hao Yu +2
Federated Class-Incremental Learning (FCIL) focuses on continually transferring the previous knowledge to learn new classes in dynamic Federated Learning (FL). However, existing me…
cs.LG2023★ 116 cited
Federated Continual Learning via Knowledge Fusion: A Survey
Xin Yang, Hao Yu, Xin Gao +3
Data privacy and silos are nontrivial and greatly challenging in many real-world applications. Federated learning is a decentralized approach to training models across multiple loc…