Summary of Dfrd: Data-free Robustness Distillation For Heterogeneous Federated Learning, by Kangyang Luo et al.
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learningby Kangyang Luo, Shuai Wang, Yexuan Fu, Xiang…
Summary of Federated Learning in Wireless Networks Via Over-the-air Computations, by Halil Yigit Oksuz et al.
Federated Learning in Wireless Networks via Over-the-Air Computationsby Halil Yigit Oksuz, Fabio Molinari, Henning Sprekeler,…
Summary of Towards More Suitable Personalization in Federated Learning Via Decentralized Partial Model Training, by Yifan Shi et al.
Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Trainingby Yifan Shi, Yingqi…
Summary of On the Convergence Of Decentralized Federated Learning Under Imperfect Information Sharing, by Vishnu Pandi Chellapandi et al.
On the Convergence of Decentralized Federated Learning Under Imperfect Information Sharingby Vishnu Pandi Chellapandi, Antesh…
Summary of Communication-efficient and Privacy-preserving Feature-based Federated Transfer Learning, by Feng Wang et al.
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learningby Feng Wang, M. Cenk Gursoy, Senem VelipasalarFirst submitted…
Summary of Tackling System and Statistical Heterogeneity For Federated Learning with Adaptive Client Sampling, by Bing Luo et al.
Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Samplingby Bing Luo, Wenli…
Summary of Connecting Low-loss Subspace For Personalized Federated Learning, by Seok-ju Hahn et al.
Connecting Low-Loss Subspace for Personalized Federated Learningby Seok-Ju Hahn, Minwoo Jeong, Junghye LeeFirst submitted to…