A Hessian-Based Federated Learning Approach to Tackle Statistical Heterogeneity. Ahmad, A., Luo, W., & Robles-Kelly, A. In Yang, X., Suhartanto, H., Wang, G., Wang, B., Jiang, J., Li, B., Zhu, H., & Cui, N., editors, ADMA (2), volume 14177, of Lecture Notes in Computer Science, pages 408-422, 2023. Springer.
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Paper bibtex @inproceedings{conf/adma/AhmadLR23,
added-at = {2023-11-28T00:00:00.000+0100},
author = {Ahmad, Adnan and Luo, Wei and Robles-Kelly, Antonio},
biburl = {https://www.bibsonomy.org/bibtex/2c348d79f1446e21bdf9fd47d251209df/dblp},
booktitle = {ADMA (2)},
crossref = {conf/adma/2023-2},
editor = {Yang, Xiaochun and Suhartanto, Heru and Wang, Guoren and Wang, Bin and Jiang, Jing and Li, Bing and Zhu, Huaijie and Cui, Ningning},
ee = {https://doi.org/10.1007/978-3-031-46664-9_28},
interhash = {401df4d880c16087167f374c317c4789},
intrahash = {c348d79f1446e21bdf9fd47d251209df},
isbn = {978-3-031-46664-9},
keywords = {dblp},
pages = {408-422},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2024-08-19T07:27:55.000+0200},
title = {A Hessian-Based Federated Learning Approach to Tackle Statistical Heterogeneity.},
url = {http://dblp.uni-trier.de/db/conf/adma/adma2023-2.html#AhmadLR23},
volume = 14177,
year = 2023
}
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