Abstract: In Time Sensitive Networking (TSN), deterministic transmission of critical traffic (CT) is essential to real-time applications. Existing traffic control methods either rely on high-precision ...
Abstract: Synchronous federated learning (FL) is a popular paradigm for collaborative edge learning. It typically involves a set of heterogeneous devices locally training neural network (NN) models in ...
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