AI RESEARCH
Bandwidth Allocation with Device Partitioning for Federated Learning over Industrial IoT networks
arXiv CS.LG
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ArXi:2605.30892v1 Announce Type: new We consider a federated learning (FL) system in which Industrial Internet-of-Things (IIoT) devices collaboratively train a global model over wireless channels without sharing local data. In such systems, communication time is a primary bottleneck that constrains overall