Privacy-Preserving Online Federated Learning for Massive Infinite Streams
- DOI
- 10.1109/tpami.2026.3697332
- Published
- 2026-10
- 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.2026.3697332,
title = {Privacy-Preserving Online Federated Learning for Massive Infinite Streams},
author = {Liang Shi and Xuebin Ren and Shusen Yang and Cong Zhao and Yijun Hao and Zongben Xu},
year = {2026},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
doi = {10.1109/tpami.2026.3697332},
url = {https://doi.org/10.1109/tpami.2026.3697332}
}RIS
TY - JOUR TI - Privacy-Preserving Online Federated Learning for Massive Infinite Streams AU - Liang Shi AU - Xuebin Ren AU - Shusen Yang AU - Cong Zhao AU - Yijun Hao AU - Zongben Xu PY - 2026 JO - IEEE Transactions on Pattern Analysis and Machine Intelligence DO - 10.1109/tpami.2026.3697332 UR - https://doi.org/10.1109/tpami.2026.3697332 ER -
APA
Shi, L., Ren, X., Yang, S., Zhao, C., Hao, Y., & Xu, Z. (2026). Privacy-Preserving Online Federated Learning for Massive Infinite Streams. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.2026.3697332
Source records
- crossref · retrieved 2026-09-25T00:38:19.826Z