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 ...
LLC, positioned between external memory and internal subsystems, stores frequently accessed data close to compute resources.
Abstract: The Mobile Edge Computing (MEC) system is crucial in modern networks, particularly for applications requiring low latency and high energy efficiency. Efficient task scheduling in MEC ...
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