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researcher

Ke Mu

2 papers here

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

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

2 papers

cs.NI2022

DPCN: Towards Deadline-aware Payment Channel Networks

Wenhui Wang, Ke Mu, Xuetao Wei

Payment channel is a class of techniques designed to solve the scalability problem of blockchain. By establishing channels off the blockchain to form payment channel networks (PCNs…

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.