EdgeMove: Pipelining Device-Edge Model Training for Mobile Intelligence.

Zeqian Dong|Qiang He|Feifei Chen|Hai Jin|Tao Gu|Yun Yang


Anthology ID:DBLP:conf/www/Dong00JG023
Volume:Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023
Year:2023
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:3142-3153
URL:https://doi.org/10.1145/3543507.3583540
DOI:https://doi.org/10.1145/3543507.3583540
DBLP:conf/www/Dong00JG023
BibTeX:
@inproceedings{dong-2023-edgemove, author = {Zeqian Dong and Qiang He and Feifei Chen and Hai Jin and Tao Gu and Yun Yang}, editor = {Ying Ding and Jie Tang and Juan F. Sequeda and Lora Aroyo and Carlos Castillo and Geert-Jan Houben}, title = {{EdgeMove: Pipelining Device-Edge Model Training for Mobile Intelligence}}, booktitle = {{Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}}, pages = {3142--3153}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3543507.3583540}, doi = {https://doi.org/10.1145/3543507.3583540} }