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Federated learning (FL) is a highly pursued machine learning technique that can train a model centrally while keeping data distributed.
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2020
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2018
Cited alongside, same era.
F. Sattler, S. Wiedemann, K. Müller, and W. Samek, “Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data,” IEEE Trans. Neural Netw. Learn. Syst
Cited in the paper.
2020
Closest in time.