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Kenta Nagura

1 paper hereh-index 00 citations2 works total

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author position
  • first author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.LG1

identity via Semantic Scholar / OpenAlex

collaborators

1 paper

cs.LG2020

FedNNNN: Norm-Normalized Neural Network Aggregation for Fast and Accurate Federated Learning

Kenta Nagura, Song Bian, Takashi Sato

Federated learning (FL) is a distributed learning protocol in which a server needs to aggregate a set of models learned some independent clients to proceed the learning process. At…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.