Summary of Fedtad: Topology-aware Data-free Knowledge Distillation For Subgraph Federated Learning, by Yinlin Zhu et al.
FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learningby Yinlin Zhu, Xunkai Li, Zhengyu Wu,…
Summary of Fair Concurrent Training Of Multiple Models in Federated Learning, by Marie Siew et al.
Fair Concurrent Training of Multiple Models in Federated Learningby Marie Siew, Haoran Zhang, Jong-Ik Park,…
Summary of Multiconfederated Learning: Inclusive Non-iid Data Handling with Decentralized Federated Learning, by Michael Duchesne et al.
MultiConfederated Learning: Inclusive Non-IID Data handling with Decentralized Federated Learningby Michael Duchesne, Kaiwen Zhang, Chamseddine…
Summary of Fedtrans: Efficient Federated Learning Via Multi-model Transformation, by Yuxuan Zhu et al.
FedTrans: Efficient Federated Learning via Multi-Model Transformationby Yuxuan Zhu, Jiachen Liu, Mosharaf Chowdhury, Fan LaiFirst…
Summary of Personalized Wireless Federated Learning For Large Language Models, by Feibo Jiang et al.
Personalized Wireless Federated Learning for Large Language Modelsby Feibo Jiang, Li Dong, Siwei Tu, Yubo…
Summary of Intelligent Agents For Auction-based Federated Learning: a Survey, by Xiaoli Tang et al.
Intelligent Agents for Auction-based Federated Learning: A Surveyby Xiaoli Tang, Han Yu, Xiaoxiao Li, Sarit…
Summary of Client-centered Federated Learning For Heterogeneous Ehrs: Use Fewer Participants to Achieve the Same Performance, by Jiyoun Kim et al.
Client-Centered Federated Learning for Heterogeneous EHRs: Use Fewer Participants to Achieve the Same Performanceby Jiyoun…
Summary of Korea-sfl: Knowledge Replay-based Split Federated Learning Against Catastrophic Forgetting, by Zeke Xia and Ming Hu and Dengke Yan and Ruixuan Liu and Anran Li and Xiaofei Xie and Mingsong Chen
KoReA-SFL: Knowledge Replay-based Split Federated Learning Against Catastrophic Forgettingby Zeke Xia, Ming Hu, Dengke Yan,…
Summary of Cabafl: Asynchronous Federated Learning Via Hierarchical Cache and Feature Balance, by Zeke Xia and Ming Hu and Dengke Yan and Xiaofei Xie and Tianlin Li and Anran Li and Junlong Zhou and Mingsong Chen
CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balanceby Zeke Xia, Ming Hu, Dengke…
Summary of Fedmes: Personalized Federated Continual Learning Leveraging Local Memory, by Jin Xie et al.
FedMeS: Personalized Federated Continual Learning Leveraging Local Memoryby Jin Xie, Chenqing Zhu, Songze LiFirst submitted…