Abstract: Split Federated Learning (SFL) improves scalability of Split Learning (SL) by enabling parallel computing of the learning tasks on multiple clients. However, state-of-the-art SFL schemes ...
The days of tech giants buying up discrete chips are over. AI companies now need GPUs, CPUs, and everything in between.
Abstract: The discontinuous Galerkin time-domain (DGTD) method with p-adaptive and local time stepping (LTS) strategies, widely employed for simulating various electromagnetic wave phenomena, faces ...
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