Federated learning with stochastic quantization
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DOI: 10.1002/int.23056
Abstract: This paper studies the distributed federated learning problem when the exchanged information between the server and the workers is quantized. A novel quantized federated averaging algorithm is developed by applying stochastic quantization scheme to the… read more here.
Keywords: model parameters; stochastic quantization; federated learning; model ... See more keywords