Summary of Rehearsal-free Continual Federated Learning with Synergistic Regularization, by Yichen Li et al.
Rehearsal-Free Continual Federated Learning with Synergistic Regularizationby Yichen Li, Yuying Wang, Tianzhe Xiao, Haozhao Wang,…
Summary of Federated Unlearning Model Recovery in Data with Skewed Label Distributions, by Xinrui Yu et al.
Federated Unlearning Model Recovery in Data with Skewed Label Distributionsby Xinrui Yu, Wenbin Pei, Bing…
Summary of Federated T-sne and Umap For Distributed Data Visualization, by Dong Qiao et al.
Federated t-SNE and UMAP for Distributed Data Visualizationby Dong Qiao, Xinxian Ma, Jicong FanFirst submitted…
Summary of Semidfl: a Semi-supervised Paradigm For Decentralized Federated Learning, by Xinyang Liu et al.
SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learningby Xinyang Liu, Pengchao Han, Xuan Li, Bo…
Summary of Building Gradient Bridges: Label Leakage From Restricted Gradient Sharing in Federated Learning, by Rui Zhang et al.
Building Gradient Bridges: Label Leakage from Restricted Gradient Sharing in Federated Learningby Rui Zhang, Ka-Ho…
Summary of Ba-bfl: Barycentric Aggregation For Bayesian Federated Learning, by Nour Jamoussi et al.
BA-BFL: Barycentric Aggregation for Bayesian Federated Learningby Nour Jamoussi, Giuseppe Serra, Photios A. Stavrou, Marios…
Summary of Non-convex Optimization in Federated Learning Via Variance Reduction and Adaptive Learning, by Dipanwita Thakur et al.
Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learningby Dipanwita Thakur, Antonella Guzzo,…
Summary of Ua-pdfl: a Personalized Approach For Decentralized Federated Learning, by Hangyu Zhu et al.
UA-PDFL: A Personalized Approach for Decentralized Federated Learningby Hangyu Zhu, Yuxiang Fan, Zhenping XieFirst submitted…
Summary of Just a Simple Transformation Is Enough For Data Protection in Vertical Federated Learning, by Andrei Semenov et al.
Just a Simple Transformation is Enough for Data Protection in Vertical Federated Learningby Andrei Semenov,…
Summary of Efficiently Achieving Secure Model Training and Secure Aggregation to Ensure Bidirectional Privacy-preservation in Federated Learning, by Xue Yang et al.
Efficiently Achieving Secure Model Training and Secure Aggregation to Ensure Bidirectional Privacy-Preservation in Federated Learningby…