受强制性开放获取政策约束的文章 - Shaoduo Gan了解详情
可在其他位置公开访问的文章：5 篇
Communication compression for decentralized training
H Tang, S Gan, C Zhang, T Zhang, J Liu
NeurIPS 2018, 2018
强制性开放获取政策： US National Science Foundation
Towards Demystifying Serverless Machine Learning Training
J Jiang*, S Gan*, Y Liu, F Wang, G Alonso, A Klimovic, A Singla, W Wu, ...
SIGMOD 2021, 2021
强制性开放获取政策： Swiss National Science Foundation, European Commission
Ease. ML: A Lifecycle Management System for Machine Learning
L Aguilar Melgar, D Dao, S Gan, NM Gürel, N Hollenstein, J Jiang, ...
CIDR 2021, 2021
强制性开放获取政策： Swiss National Science Foundation, European Commission
In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle
L Xu, S Qiu, B Yuan, J Jiang, C Renggli, S Gan, K Kara, G Li, J Liu, W Wu, ...
SIGMOD 2022, 2022
强制性开放获取政策： Swiss National Science Foundation, 中国科学院, European Commission
A systematic evaluation of machine learning on serverless infrastructure
J Jiang*, S Gan*, B Du, G Alonso, A Klimovic, A Singla, W Wu, S Wang, ...
The VLDB Journal 33 (2), 425-449, 2024
强制性开放获取政策： Swiss National Science Foundation, 国家自然科学基金委员会, European Commission
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