Kaibin Wang, Qiang He 0001, Feifei Chen 0001, Hai Jin, Yun Yang 0001. FedEdge: Accelerating Edge-Assisted Federated Learning. In Ying Ding 0001, Jie Tang 0001, Juan F. Sequeda, Lora Aroyo, Carlos Castillo 0001, Geert-Jan Houben, editors, Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023- 4 May 2023. pages 2895-2904, ACM, 2023. [doi]
@inproceedings{Wang00J023,
title = {FedEdge: Accelerating Edge-Assisted Federated Learning},
author = {Kaibin Wang and Qiang He 0001 and Feifei Chen 0001 and Hai Jin and Yun Yang 0001},
year = {2023},
doi = {10.1145/3543507.3583264},
url = {https://doi.org/10.1145/3543507.3583264},
researchr = {https://researchr.org/publication/Wang00J023},
cites = {0},
citedby = {0},
pages = {2895-2904},
booktitle = {Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023- 4 May 2023},
editor = {Ying Ding 0001 and Jie Tang 0001 and Juan F. Sequeda and Lora Aroyo and Carlos Castillo 0001 and Geert-Jan Houben},
publisher = {ACM},
isbn = {978-1-4503-9416-1},
}