Classification-Oriented Distributed Semantic Communication for Multivariate Time Series
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DOI: 10.1109/lsp.2023.3265330
Abstract: We present a many-to-one distributed semantic communication system for multivariate time series classification. The system adopts a federated learning-based architecture to achieve low-redundancy collaborative inference, where an unsupervised auxiliary task is designed to coordinate the… read more here.
Keywords: semantic communication; distributed semantic; time series;