Efficient Federated Learning with Heterogeneous Data and Adaptive Dropout.
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| Title: | Efficient Federated Learning with Heterogeneous Data and Adaptive Dropout. |
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| Authors: | Liu, Ji1, jiliuwork@gmail.com, Ma, Beichen2, bm685@cornell.edu, Yu, Qiaolin3, qy254@cornell.edu, Jin, Ruoming4, rjin1@kent.edu, Zhou, Jingbo5, zhoujingbo@outlook.com, Zhou, Yang6, yangzhou@auburn.edu, Dai, Huaiyu7, hdai@ncsu.edu, Wang, Haixun8, haixun@gmail.com, Dou, Dejing9, dejingdou@gmail.com, Valduriez, Patrick10, patrick.valduriez@inria.fr |
| Source: | ACM Transactions on Knowledge Discovery from Data; Sep2025, Vol. 19 Issue 8, p1-31, 31p |
| Database: | Applied Science & Technology Source |
| ISSN: | 15564681 |
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| DOI: | 10.1145/3749376 |
