Beyond Gradient Inversion: Hidden Subset Sum Problem-Based Input Reconstruction for Federated Learning
- DOI
- 10.1109/tpami.2026.3735649
- Published
- 2026
- Container
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tpami.2026.3735649,
title = {Beyond Gradient Inversion: Hidden Subset Sum Problem-Based Input Reconstruction for Federated Learning},
author = {Qiongxiu Li and Lixia Luo and Agnese Gini and Changlong Ji and Zhanhao Hu and Xiao Li and Chengfang Fang and Jie Shi and Xiaolin Hu},
year = {2026},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
doi = {10.1109/tpami.2026.3735649},
url = {https://doi.org/10.1109/tpami.2026.3735649}
}RIS
TY - JOUR TI - Beyond Gradient Inversion: Hidden Subset Sum Problem-Based Input Reconstruction for Federated Learning AU - Qiongxiu Li AU - Lixia Luo AU - Agnese Gini AU - Changlong Ji AU - Zhanhao Hu AU - Xiao Li AU - Chengfang Fang AU - Jie Shi AU - Xiaolin Hu PY - 2026 JO - IEEE Transactions on Pattern Analysis and Machine Intelligence DO - 10.1109/tpami.2026.3735649 UR - https://doi.org/10.1109/tpami.2026.3735649 ER -
APA
Li, Q., Luo, L., Gini, A., Ji, C., Hu, Z., Li, X., Fang, C., Shi, J., & Hu, X. (2026). Beyond Gradient Inversion: Hidden Subset Sum Problem-Based Input Reconstruction for Federated Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.2026.3735649
Source records
- crossref · retrieved 2026-11-06T10:04:10.486Z