The rapid adoption of asynchronous e-learning during the COVID-19 pandemic has raised questions regarding the sustainability of student engagement in digital teaching formats over time. The objective ...
Abstract: Asynchronous Federated Learning (AFL) can mitigate the straggler problem due to unbalanced training time of clients in Synchronous Federated Learning (SFL), thereby reducing the aggregation ...
Abstract: In federated learning, model aggregation is performed at a common server leading to a single point of failure, which aggravates with increasing number of clients causing large network delays ...
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