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Publikováno v:
IEEE Transactions on Signal Processing. 71:295-310
Federated learning (FL) is an emerging paradigm for training machine learning models using possibly private data available at edge devices. The distributed operation of FL gives rise to challenges that are not encountered in centralized machine learn