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Original paper

Opportunities of Federated Learning in Connected, Cooperative, and Automated Industrial Systems

Volume: 59, Issue: 2, Pages: 16 - 21
Published: Feb 1, 2021
Abstract
Next-generation autonomous and networked industrial systems (i.e., robots, vehicles, drones) have driven advances in ultra-reliable low-laten-cy communications (URLLC) and computing. These networked multi-agent systems require fast, communication-efficient, and distributed machine learning (ML) to provide mission-crit-ical control functionalities. Distributed ML techniques, including federated learning (FL), represent a mushrooming...
Paper Details
Title
Opportunities of Federated Learning in Connected, Cooperative, and Automated Industrial Systems
Published Date
Feb 1, 2021
Volume
59
Issue
2
Pages
16 - 21
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