Communication-Efficient Federated Learning Over MIMO Multiple Access Channels

• Published in: IEEE transactions on communications Vol. 70; no. 10; pp. 6547 - 6562
• Main Authors: Jeon, Yo-Seb, Mohammadi Amiri, Mohammad, Lee, Namyoon
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.10.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Channels; Collaborative work; Communication; compressed sensing; Computational modeling; Convergence; distributed machine learning; Error analysis; Federated learning; gradient compression; gradient reconstruction; Image reconstruction; Machine learning; MIMO communication; Multiple access; Recovery; Uplink; Wireless communication

Communication efficiency is of importance for wireless federated learning systems. In this paper, we propose a communication-efficient strategy for federated learning over multiple-input multiple-output (MIMO) multiple access channels (MACs). The proposed strategy comprises two components. When send...