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Honda (Japan)

Japan

7 papers here5 citations across 7
fields
  • cs.HC2
  • eess.AS2
  • cs.CV1
  • cs.LG1
  • quant-ph1
ROR 03jzay846OpenAlex

affiliations via OpenAlex

most citedPruning Federated Models through Loss Landscape Analysis and Client Agreement Scoring

2 citations

researchers with a paper here
  • Barbara Hammer2 profiles2 · h 4
  • Chyi-Jiunn Lin2 · h 3
  • Muhammad Shakeel2 · h 10
  • Shinji Watanabe2 · h 8
  • Alessandro Giuseppi1 · h 17
  • Chikara Maeda1 · h 3
  • Christian Arzate Cruz1 · h 3
  • Christian Internò1 · h 2
  • E. Raponi1 · h 12
  • Hirofumi Nishi1 · h 12
  • Matti Krüger1 · h 9
  • M. Olhofer1 · h 28
collaborating institutions
  • Carnegie Mellon UniversityUS2 papers
  • Bielefeld UniversityDE1 paper
  • Honda (Germany)DE1 paper
  • Indiana University BloomingtonUS1 paper
  • Leiden UniversityNL1 paper
  • National Institutes for Quantum Science and TechnologyJP1 paper
  • Sapienza University of RomeIT1 paper
  • Taiyo Yuden (Japan)JP1 paper
  • The University of TokyoJP1 paper
  • University of CanberraAU1 paper
  • University of Central FloridaUS1 paper
  • Westlake UniversityCN1 paper
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2026★ 2 cited

Pruning Federated Models through Loss Landscape Analysis and Client Agreement Scoring

Christian Internò, Elena Raponi, Markus Olhofer +5

The practical deployment of Federated Learning (FL) on resource-constrained devices is fundamentally limited by the high cost of training large models and the instability caused by…

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