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} }