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An Investigation of Parameter Efficient Federated Learning with Foundation Model

Year: 2025

Type: conference-paper

Source: International Conference on Machine Learning Technologies (ICMLT)

DOI: 10.1109/icmlt65785.2025.11193423

Authors: Zeyuan Wang, Zhendu Li, Yanming Guo, Jun Tang

Institution: National University of Defense Technology

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: National Natural Science Foundation of China

OpenAlex ID: W4415124582

FWCI:

Cites: 20

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