EdgeTB: a Hybrid Testbed for Distributed Machine Learning at the Edge with High Fidelity
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DOI: 10.1109/tpds.2022.3144994
Abstract: Distributed Machine Learning (DML) at the edge has become an essential topic for providing low-latency intelligence near the data sources. However, both the development and testing of DML lack sufficient support. Reusable libraries that are… read more here.
Keywords: hybrid testbed; distributed machine; high fidelity; fidelity ... See more keywords