Work

Active Gradient Manipulation for Privacy Breaching in Vertical Federated Learning

Year: 2025

Type: article

Source: IEEE Transactions on Artificial Intelligence

DOI: 10.1109/tai.2025.3556094

Authors: Tre’ R. Jeter, Minh N. Vu, Raed Alharbi, Jung Taek Seo, My T. Thai

Institutions: University of Florida, Saudi Electronic University, Gachon University

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, Korea Institute of Energy Technology Evaluation and Planning

Awards: SaTC: CORE: Small: Collaborative: When Adversarial Learning Meets Differential Privacy: Theoretical Foundation and Applications, G4976254119, Collaborative Research: III: Small: Foundations for Trustworthy Decentralized Federated Learning

OpenAlex ID: W4408970591

FWCI:

Cites: 19

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Related to: 10