pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning
- DOI
- 10.48550/arxiv.2606.16304
- Published
- 2026
- Container
- Not recorded
- Publisher
- arXiv
- Open access
- no
Credibility signals
limited evidence Score 41/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.48550/arxiv.2606.16304,
title = {pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning},
author = {Liu, Zhuodong and Li, Xiangyu and Zhang, Zhihao},
year = {2026},
doi = {10.48550/arxiv.2606.16304},
url = {https://doi.org/10.48550/arxiv.2606.16304}
}RIS
TY - JOUR TI - pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning AU - Liu, Zhuodong AU - Li, Xiangyu AU - Zhang, Zhihao PY - 2026 DO - 10.48550/arxiv.2606.16304 UR - https://doi.org/10.48550/arxiv.2606.16304 ER -
APA
Zhuodong, L., Xiangyu, L., & Zhihao, Z. (2026). pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning. https://doi.org/10.48550/arxiv.2606.16304
Source records
- datacite · retrieved 2026-09-26T05:27:27.609Z