Summary of Pursuing Overall Welfare in Federated Learning Through Sequential Decision Making, by Seok-ju Hahn et al.
Pursuing Overall Welfare in Federated Learning through Sequential Decision Makingby Seok-Ju Hahn, Gi-Soo Kim, Junghye…
Summary of Sheaf Hypernetworks For Personalized Federated Learning, by Bao Nguyen et al.
Sheaf HyperNetworks for Personalized Federated Learningby Bao Nguyen, Lorenzo Sani, Xinchi Qiu, Pietro Liò, Nicholas…
Summary of Share Your Secrets For Privacy! Confidential Forecasting with Vertical Federated Learning, by Aditya Shankar et al.
Share Your Secrets for Privacy! Confidential Forecasting with Vertical Federated Learningby Aditya Shankar, Lydia Y.…
Summary of Sparse-proxskip: Accelerated Sparse-to-sparse Training in Federated Learning, by Georg Meinhardt et al.
Sparse-ProxSkip: Accelerated Sparse-to-Sparse Training in Federated Learningby Georg Meinhardt, Kai Yi, Laurent Condat, Peter RichtárikFirst…
Summary of Selective Knowledge Sharing For Personalized Federated Learning Under Capacity Heterogeneity, by Zheng Wang et al.
Selective Knowledge Sharing for Personalized Federated Learning Under Capacity Heterogeneityby Zheng Wang, Zheng Wang, Zhaopeng…
Summary of Exploring the Practicality Of Federated Learning: a Survey Towards the Communication Perspective, by Khiem Le et al.
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspectiveby Khiem Le, Nhan…
Summary of Fcom: a Federated Collaborative Online Monitoring Framework Via Representation Learning, by Tanapol Kosolwattana et al.
FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learningby Tanapol Kosolwattana, Huazheng Wang, Raed…
Summary of Enhancing Performance For Highly Imbalanced Medical Data Via Data Regularization in a Federated Learning Setting, by Georgios Tsoumplekas et al.
Enhancing Performance for Highly Imbalanced Medical Data via Data Regularization in a Federated Learning Settingby…
Summary of Submfl: Compatiple Submodel Generation For Federated Learning in Device Heterogenous Environment, by Zeyneddin Oz et al.
subMFL: Compatiple subModel Generation for Federated Learning in Device Heterogenous Environmentby Zeyneddin Oz, Ceylan Soygul…
Summary of On Vessel Location Forecasting and the Effect Of Federated Learning, by Andreas Tritsarolis et al.
On Vessel Location Forecasting and the Effect of Federated Learningby Andreas Tritsarolis, Nikos Pelekis, Konstantina…