Abstract: High-radix direct interconnection networks enable many simultaneous, non-blocking point-to-point communications at every compute node of high-performance computing systems. This feature ...
Abstract: Federated learning (FL) is a useful tool that enables the training of machine learning models over distributed data without having to collect data centrally. When deploying FL in constrained ...
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