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stat.ML2024
Fast convergence of a Federated Expectation-Maximization Algorithm
Zhixu Tao, Rajita Chandak, Sanjeev Kulkarni
Data heterogeneity has been a long-standing bottleneck in studying the convergence rates of Federated Learning algorithms. In order to better understand the issue of data heterogen…
stat.ML2023★ 3 cited
Byzantine-Robust Clustered Federated Learning
Zhixu Tao, Kun Yang, Sanjeev R. Kulkarni
This paper focuses on the problem of adversarial attacks from Byzantine machines in a Federated Learning setting where non-Byzantine machines can be partitioned into disjoint clust…