Abstract: From edge to exascale, computer architectures are becoming more heterogeneous and complex. The systems typically have fat nodes, with multicore CPUs and multiple hardware accelerators such ...
Abstract: Federated Learning inherently faces the challenge of balancing privacy protection and classification accuracy due to the risks associated with parameter sharing and the limitations of model ...
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