Work

FedTVD: balancing data quality and quantity for robust federated learning

Year: 2025

Type: article

Source: Future Generation Computer Systems

DOI: 10.1016/j.future.2025.108177

Authors: Radwan Selo, Majid Kundroo, Taehong Kim

Institution: Chungbuk National University

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Reduced inequalities

Open Access status: green

Funders: National Research Foundation, Ministry of Education, National Research Foundation of Korea, Ministry of Science and ICT, South Korea, Institute for Information and Communications Technology Promotion

Awards: G2922860803, G3274757122, G8824592139

OpenAlex ID: W4414685138

FWCI: 0.816

Cites: 34

Cited by: 2

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