Summary of Improving Local Training in Federated Learning Via Temperature Scaling, by Kichang Lee et al.
Improving Local Training in Federated Learning via Temperature Scalingby Kichang Lee, Songkuk Kim, JeongGil KoFirst…
Improving Local Training in Federated Learning via Temperature Scalingby Kichang Lee, Songkuk Kim, JeongGil KoFirst…
Mobility Accelerates Learning: Convergence Analysis on Hierarchical Federated Learning in Vehicular Networksby Tan Chen, Jintao…
Technical Report: On the Convergence of Gossip Learning in the Presence of Node Inaccessibilityby Tian…
Risk-Aware Accelerated Wireless Federated Learning with Heterogeneous Clientsby Mohamed Ads, Hesham ElSawy, Hossam S. HassaneinFirst…
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Databy Zikai Xiao, Zihan Chen, Liyinglan…
A GAN-based data poisoning framework against anomaly detection in vertical federated learningby Xiaolin Chen, Daoguang…
Learn What You Need in Personalized Federated Learningby Kexin Lv, Rui Ye, Xiaolin Huang, Jie…
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approachby Mahrokh Ghoddousi Boroujeni, Andreas Krause, Giancarlo…
Joint Probability Selection and Power Allocation for Federated Learningby Ouiame Marnissi, Hajar EL Hammouti, El…
Vertical Federated Image Segmentationby Paul K. Mandal, Cole LeoFirst submitted to arxiv on: 15 Jan…