HUANG Wei ＨＵＡＮＧＷｅｉ

Researcher Number	60976299
Other IDs
Affiliation (Current)	2026: 国立研究開発法人理化学研究所, 革新知能統合研究センター, 研究員
Affiliation (based on the past Project Information) *help	2024: 国立研究開発法人理化学研究所, 革新知能統合研究センター, 研究員
Review Section/Research Field	Principal Investigator Basic Section 61030:Intelligent informatics-related
Keywords	Principal Investigator Deep Learning Theory / Theoretical Analysis / Prompt Learning / Non-IID Data / Data Heterogeneity / Federated Learning

Research Projects
(1 results)
Research Products
(5 results)

Towards an Explainable, Efficient, and Reliable Federated Learning Framework: A Solution for Data HeterogeneityPrincipal Investigator
- Principal Investigator
  
  HUANG Wei
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  Institute of Physical and Chemical Research

All 2024

All Journal Article Presentation

[Journal Article] Global and Local Prompts Cooperation via Optimal Transport for Federated Learning2024
- Author(s)
  Hongxia Li, Wei Huang, Jingya Wang, Ye Shi
- Journal Title
  
  Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024)
  
  Volume: - Pages: 12151-12161
- Data Source
  KAKENHI-PROJECT-24K20848
[Journal Article] Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method2024
- Author(s)
  Bikang Pan, Wei Huang, Ye Shi
- Journal Title
  
  Proceedings of the 38th Conference on Neural Information Processing Systems (NeurIPS 2024)
  
  Volume: -
- Data Source
  KAKENHI-PROJECT-24K20848
[Journal Article] Understanding Convergence and Generalization in Federated Learning through Feature Learning Theory2024
- Author(s)
  Wei Huang, Ye Shi, Zhongyi Cai, Taiji Suzuki
- Journal Title
  
  Proceedings of the 12th International Conference on Learning Representations (ICLR 2024)
  
  Volume: -
- Data Source
  KAKENHI-PROJECT-24K20848
[Presentation] Understanding Convergence and Generalization in Federated Learning through Feature Learning Theory2024
- Author(s)
  Wei Huang
- Organizer
  ICLR 2024 (International Conference on Learning Representations)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24K20848
[Presentation] Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method2024
- Author(s)
  Wei Huang
- Organizer
  NeurIPS 2024 (Conference on Neural Information Processing Systems)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24K20848

HUANG Wei ＨＵＡＮＧ Ｗｅｉ

Research Projects

Research Products

Towards an Explainable, Efficient, and Reliable Federated Learning Framework: A Solution for Data HeterogeneityPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Global and Local Prompts Cooperation via Optimal Transport for Federated Learning2024

Author(s)

Journal Title

Data Source

[Journal Article] Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method2024

Author(s)

Journal Title

Data Source

[Journal Article] Understanding Convergence and Generalization in Federated Learning through Feature Learning Theory2024

Author(s)

Journal Title

Data Source

[Presentation] Understanding Convergence and Generalization in Federated Learning through Feature Learning Theory2024

Author(s)

Organizer

Data Source

[Presentation] Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method2024

Author(s)

Organizer

Data Source

HUANG Wei ＨＵＡＮＧＷｅｉ