@inproceedings{8ba200d864cc422188e95491068afdbc,
title = "Poster: Maintaining Training Efficiency and Accuracy for Edge-assisted Online Federated Learning with ABS",
abstract = "This paper proposes Adaptive Batch Sizing (ABS) for online federated learning. ABS is an iteration process-efficient solution that adaptively adjusts batch size of the training process at edge nodes. Preliminary results show that ABS maintains training efficiency and accuracy, compared with existing iteration round-efficient solutions.",
author = "Jiayu Wang and Zehua Guo and Sen Liu and Yuanqing Xia",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 28th IEEE International Conference on Network Protocols, ICNP 2020 ; Conference date: 13-10-2020 Through 16-10-2020",
year = "2020",
month = oct,
day = "13",
doi = "10.1109/ICNP49622.2020.9259386",
language = "English",
series = "Proceedings - International Conference on Network Protocols, ICNP",
publisher = "IEEE Computer Society",
booktitle = "28th IEEE International Conference on Network Protocols, ICNP 2020",
address = "United States",
}