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researcher

Ke Mu

2 papers hereh-index 7117 citations26 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • cs.NI1
same name
  • Ke Mu — 3 papers, h 0
  • Ke Mu — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedRingFed: Reducing Communication Costs in Federated Learning on Non-IID Data

9 citations · 9 across the 2 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2021★ 9 cited

RingFed: Reducing Communication Costs in Federated Learning on Non-IID Data

Guang Yang, Ke Mu, Chunhe Song +2

Federated learning is a widely used distributed deep learning framework that protects the privacy of each client by exchanging model parameters rather than raw data. However, feder…

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