LocFedMix-SL: Localize, Federate, and Mix for Improved Scalability, Convergence, and Latency in Split Learning.
Seungeun Oh|Jihong Park|Praneeth Vepakomma|Sihun Baek|Ramesh Raskar|Mehdi Bennis|Seong-Lyun Kim
| Anthology ID: | DBLP:conf/www/OhPVBRBK22 |
|---|---|
| Volume: | WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022 |
| Year: | 2022 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 3347-3357 |
| URL: | https://doi.org/10.1145/3485447.3512153 |
| DOI: | https://doi.org/10.1145/3485447.3512153 |
| DBLP: | conf/www/OhPVBRBK22 |
| BibTeX: |
@inproceedings{oh-2022-locfedmixsl,
author = {Seungeun Oh and
Jihong Park and
Praneeth Vepakomma and
Sihun Baek and
Ramesh Raskar and
Mehdi Bennis and
Seong-Lyun Kim},
editor = {Fr\'{e}d\'{e}rique Laforest and
Rapha\"{e}l Troncy and
Elena Simperl and
Deepak Agarwal and
Aristides Gionis and
Ivan Herman and
Lionel M\'{e}dini},
title = {{LocFedMix-SL: Localize, Federate, and Mix for Improved Scalability, Convergence, and Latency in Split Learning}},
booktitle = {{WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022}},
pages = {3347--3357},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3485447.3512153},
doi = {https://doi.org/10.1145/3485447.3512153}
}