Communication Efficient Mobile Data Collection for IoT Edge using Federated Learning
DOI:
https://doi.org/10.48047/tz5fx475Keywords:
Internet of Things (IoT), Federated learning (FL), communication overhead, Client edge cloud, Artificial Intelligence (AI).Abstract
Internet of Things (IoT) has emerged in recent years as a result of substantial advances in
computer and communication technology. A new paradigm for networked computing is
federated learning (FL). However, utilizing FL in client-edge-computing will result in costly
communication overheads, with usual resources used for ordinary communication. The edge
server has more effective interactions with the IoT devices as well as with the cloud server.
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