Distributed Swarm Learning for Edge Internet of Things

arXiv:2403.20188v1 Announce Type: cross
Abstract: The rapid growth of Internet of Things (IoT) has led to the widespread deployment of smart IoT devices at wireless edge for collaborative machine learning tasks, ushering in a new era of edge learning. With a huge number of hardware-constrained IoT devices operating in resource-limited wireless networks, edge learning encounters substantial challenges, including communication and computation bottlenecks, device and data heterogeneity, security risks, privacy leakages, non-convex optimization, and complex wireless environments. To address these issues, …

abstract arxiv collaborative cs.ai cs.lg cs.ni deployment devices distributed edge growth hardware internet internet of things iot machine machine learning networks smart tasks type wireless