Summary of Fedadmm-insa: An Inexact and Self-adaptive Admm For Federated Learning, by Yongcun Song et al.
FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learningby Yongcun Song, Ziqi Wang, Enrique ZuazuaFirst…
Summary of Stochastic Approximation Approach to Federated Machine Learning, by Srihari P V and Bharath Bhikkaji
Stochastic Approximation Approach to Federated Machine Learningby Srihari P V, Bharath BhikkajiFirst submitted to arxiv…
Summary of Ccfc++: Enhancing Federated Clustering Through Feature Decorrelation, by Jie Yan et al.
CCFC++: Enhancing Federated Clustering through Feature Decorrelationby Jie Yan, Jing Liu, Yi-Zi Ning, Zhong-Yuan ZhangFirst…
Summary of Federated Multi-task Learning on Non-iid Data Silos: An Experimental Study, by Yuwen Yang et al.
Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Studyby Yuwen Yang, Yuxiang Lu, Suizhi…
Summary of Byzantine-robust Federated Learning: Impact Of Client Subsampling and Local Updates, by Youssef Allouah et al.
Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updatesby Youssef Allouah, Sadegh Farhadkhani, Rachid…
Summary of Adept: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning, by Kaan Ozkara et al.
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learningby Kaan Ozkara, Bruce Huang, Ruida Zhou,…
Summary of On the Byzantine-resilience Of Distillation-based Federated Learning, by Christophe Roux et al.
On the Byzantine-Resilience of Distillation-Based Federated Learningby Christophe Roux, Max Zimmer, Sebastian PokuttaFirst submitted to…
Summary of Federated Bayesian Network Ensembles, by Florian Van Daalen et al.
Federated Bayesian Network Ensemblesby Florian van Daalen, Lianne Ippel, Andre Dekker, Inigo BermejoFirst submitted to…
Summary of Achieving Linear Speedup in Asynchronous Federated Learning with Heterogeneous Clients, by Xiaolu Wang et al.
Achieving Linear Speedup in Asynchronous Federated Learning with Heterogeneous Clientsby Xiaolu Wang, Zijian Li, Shi…
Summary of Enhancing Convergence in Federated Learning: a Contribution-aware Asynchronous Approach, by Changxin Xu et al.
Enhancing Convergence in Federated Learning: A Contribution-Aware Asynchronous Approachby Changxin Xu, Yuxin Qiao, Zhanxin Zhou,…