Abstract: Amidst the diverse computational and communication capabilities of the resource-constrained edge devices (EDs), synchronous model aggregation in wireless federated learning (FL) often ...
Abstract: Federated learning (FL) has emerged as a powerful paradigm for decentralized machine learning, enabling collaborative model training across diverse clients without sharing raw data. However, ...
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