@inproceedings{6adbc9a98e644585a67f7d55a9526d78,
title = "Communication-efficient decentralized learning with sparsification and adaptive peer selection",
keywords = "Adaptive Peer Selection, Deep Learning, Distributed Learning, Federated Learning, Model Sparsification",
author = "Zhenheng Tang and Shaohuai Shi and Xiaowen CHU",
note = "Funding Information: The research is supported by Hong Kong RGC GRF grant HKBU 12200418. We acknowledge Nvidia AI Technology Centre (NVAITC) for providing GPU clusters for experiments.; 40th IEEE International Conference on Distributed Computing Systems, ICDCS 2020 ; Conference date: 29-11-2020 Through 01-12-2020",
year = "2020",
month = nov,
doi = "10.1109/ICDCS47774.2020.00153",
language = "English",
series = "Proceedings - International Conference on Distributed Computing Systems",
publisher = "IEEE",
pages = "1207--1208",
booktitle = "Proceedings - 2020 IEEE 40th International Conference on Distributed Computing Systems, ICDCS 2020",
address = "United States",
}