Federated Learning (FL) is an emerging distributed learning paradigm with the privacy-preserving advantage of collaboratively training a shared model across multiple participants. Considering the ...
Abstract: In recent years, asynchronous circuits have gained attention in neural network chips and Internet of Things (IoT) due to their potential advantages of low power and high performance. However ...
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