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Federated Learning for Semantic Communications over Multiple Access Channels
and-cluster-computingdistributedinformation-theorymachine-learningnetworking-and-internet-architectureparallelsignal-processing
This paper presents a federated learning (FL) framework for semantic communication (SemCom) over the multiple access channel (MAC), where multiple distributed transmitters simultaneously convey semantic information to a common receiver using end-to-end learned semantic representations. Semantic feat
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