Abstract: Data compression is an important factor of excessive-pace network communications, as it may lessen the number of facts that need to be transmitted over a given network. Facts compression ...
Abstract: Federated Learning(FL) has become an emerging method that trains private data by distributed learning of shared parameter, however, it has high communication overhead and is still exposed to ...
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