A Novel Hybrid NOMA-TDMA Scheme for Wireless Federated Learning Networks

To address the straggler problem in wireless federated learning (WFL) networks, a novel hybrid non-orthogonal multiple access (NOMA) - time division multiple access (TDMA) scheme is proposed, where not only local model training and uploading of different users are performed in parallel, but also the...

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Vydané v:	IEEE transactions on vehicular technology Ročník 74; číslo 5; s. 8448 - 8453
Hlavný autor:	Xu, Ding
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.05.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Broadcasting Computational modeling Data models Decoding Energy consumption Federated learning Interference cancellation latency Network latency NOMA non-orthogonal multiple access (NOMA) Nonorthogonal multiple access Optimization Resource management Robot learning Simulation Time Division Multiple Access time division multiple access (TDMA) Training Wireless federated learning (WFL) Wireless networks
ISSN:	0018-9545, 1939-9359
On-line prístup:	Získať plný text
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