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Hong Kong Academy of Medicine

China

2 papers here26 citations across 2
fields
  • cs.CV1
  • cs.LG1
ROR 036b4vb45OpenAlex

affiliations via OpenAlex

most citedUnderstanding and Improving Model Averaging in Federated Learning on Heterogeneous Data

26 citations

researchers with a paper here
  • A. Rao1 · h 4
  • Chongjie Ye1 · h 6
  • Danny H. K. Tsang1 · h 6
  • Hao Zhao1 · h 5
  • Hong Li1 · h 3
  • Houyuan Chen1 · h 1
  • Jinchao Zhang1 · h 42
  • Lvmin Zhang1 · h 8
  • Shaocong Xu1 · h 7
  • Tailin Zhou1 · h 8
  • Tianrui Zhu1 · h 3
  • Weiqing Xiao1 · h 2
collaborating institutions
  • University of Hong KongHK2 papers
  • Beihang UniversityCN1 paper
  • Beijing Academy of Artificial IntelligenceCN1 paper
  • Chinese University of Hong KongHK1 paper
  • Chinese University of Hong Kong, ShenzhenCN1 paper
  • Hong Kong University of Science and TechnologyHK1 paper
  • Nanjing UniversityCN1 paper
  • Stanford UniversityUS1 paper
  • The Academy of Sciences of Hong KongCN1 paper
  • Tsinghua UniversityCN1 paper

2 papers

cs.CV2026

UniVidX: A Unified Multimodal Framework for Versatile Video Generation via Diffusion Priors

Houyuan Chen, Hong Li, Xianghao Kong +8

Recent progress has shown that video diffusion models (VDMs) can be repurposed for diverse multimodal graphics tasks. However, existing methods often train separate models for each…

cs.LG2023★ 26 cited

Understanding and Improving Model Averaging in Federated Learning on Heterogeneous Data

Tailin Zhou, Zehong Lin, Jun Zhang +1

Model averaging is a widely adopted technique in federated learning (FL) that aggregates multiple client models to obtain a global model. Remarkably, model averaging in FL yields a…

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