Clustered Federated Multi-Task Learning: A Communication-and-Computation Efficient Sparse Sharing Approach

Federated multi-task learning (FMTL) is a promising technology to tackle one of the most severe non-independent and identically distributed (non-IID) data challenge in federated learning (FL), which treats each client as a single task and learns personalized models by exploiting task correlations. H...

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