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Found 2 papers, 1 papers with code
An Improved Algorithm for Clustered Federated Learning
\texttt{SR-FCA} treats each user as a singleton cluster as an initialization, and then successively refine the cluster estimation via exploiting similar users belonging to the same cluster.
Stochastic Compositional Gradient Descent under Compositional Constraints
Of particular interest is the large-scale setting where an oracle provides the stochastic gradients of the constituent functions, and the goal is to solve the problem with a minimal number of calls to the oracle.
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