Over-the-Air Federated Learning in MIMO Cloud Radio Access Networks

To address the limited server coverage of traditional over-the-air federated learning (OA-FL), we propose a new OA-FL framework for MIMO-based cloud radio access network (Cloud-RAN), called MIMO Cloud-RAN OA-FL (MIMOCROF). The proposed MIMOCROF consists of three stages in each training round. The fi...

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Veröffentlicht in:	IEEE transactions on wireless communications Jg. 24; H. 7; S. 5825 - 5839
Hauptverfasser:	Ma, Haoming, Yuan, Xiaojun, Ding, Zhi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.07.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Broadcasting cloud radio access network Computational modeling Correlation Federated learning lossy distributed source coding MIMO Model updating multiple-input multiple-output multiple access channel Optimization over-the-air computation Parameters Servers Source coding Training Uplink Vectors Wireless networks
ISSN:	1536-1276, 1558-2248
Online-Zugang:	Volltext
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