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Enhancing Privacy of Spatiotemporal Federated Learning against Gradient Inversion Attacks
11 July 2024
Lele Zheng
Yang Cao
Renhe Jiang
Kenjiro Taura
Yulong Shen
Sheng Li
Masatoshi Yoshikawa
AAML
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ArXiv (abs)
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Papers citing
"Enhancing Privacy of Spatiotemporal Federated Learning against Gradient Inversion Attacks"
2 / 2 papers shown
Title
FedTDP: A Privacy-Preserving and Unified Framework for Trajectory Data Preparation via Federated Learning
Zhihao Zeng
Ziquan Fang
Wei Shao
Lu Chen
Yunjun Gao
FedML
106
0
0
08 May 2025
Effective and Efficient Cross-City Traffic Knowledge Transfer: A Privacy-Preserving Perspective
Zhihao Zeng
Ziquan Fang
Yuting Huang
Lu Chen
Yunjun Gao
249
0
0
15 Mar 2025
1