GSFL: A Privacy-Preserving Grouping-Split Federated Learning Approach in Resource-Constrained Edge Computing Scenarios.
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| Title: | GSFL: A Privacy-Preserving Grouping-Split Federated Learning Approach in Resource-Constrained Edge Computing Scenarios. |
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| Authors: | Liu, Qi1, qi.liu@nuist.edu.cn, Wang, Zhilu2, zhiluwang@nuist.edu.cn, Zhou, Xiaokang3, zhou@kansai-u.ac.jp, Zhang, Yonghong4, zyh@nuist.edu.cn, Liu, Xiaodong5, x.liu@napier.ac.uk, Lin, Haiyang6, 202212490371@nuist.edu.cn |
| Source: | ACM Transactions on Autonomous & Adaptive Systems; Dec2025, Vol. 20 Issue 4, p1-29, 29p |
| Database: | Applied Science & Technology Source |
| ISSN: | 15564665 |
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| DOI: | 10.1145/3725221 |
