Towards Full Forward On-Tiny-Device Learning: A Guided Search for a Randomly Initialized Neural Network
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DOI: 10.3390/a17010022
Abstract: In the context of TinyML, many research efforts have been devoted to designing forward topologies to support On-Device Learning. Reaching this target would bring numerous advantages, including reductions in latency and computational complexity, stronger privacy,… read more here.
Keywords: randomly initialized; device learning; towards full; search ... See more keywords