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Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes


Aug 17, 2022
Bin Ji, Shasha Li, Shaoduo Gan, Jie Yu, Jun Ma, Huijun Liu

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* Accept to COLING2022 

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Stochastic Gradient Descent without Full Data Shuffle


Jun 12, 2022
Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cedric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang

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* This technical report is an extension of our SIGMOD 2022 paper titled "In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle". https://doi.org/10.1145/3514221.3526150 

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FRuDA: Framework for Distributed Adversarial Domain Adaptation


Dec 26, 2021
Shaoduo Gan, Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas Lane

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BAGUA: Scaling up Distributed Learning with System Relaxations


Jul 12, 2021
Shaoduo Gan, Xiangru Lian, Rui Wang, Jianbin Chang, Chengjun Liu, Hongmei Shi, Shengzhuo Zhang, Xianghong Li, Tengxu Sun, Jiawei Jiang, Binhang Yuan, Sen Yang, Ji Liu, Ce Zhang

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Towards Demystifying Serverless Machine Learning Training


May 17, 2021
Jiawei Jiang, Shaoduo Gan, Yue Liu, Fanlin Wang, Gustavo Alonso, Ana Klimovic, Ankit Singla, Wentao Wu, Ce Zhang

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1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed


Feb 04, 2021
Hanlin Tang, Shaoduo Gan, Ammar Ahmad Awan, Samyam Rajbhandari, Conglong Li, Xiangru Lian, Ji Liu, Ce Zhang, Yuxiong He

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* arXiv admin note: text overlap with arXiv:2008.11343 

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APMSqueeze: A Communication Efficient Adam-Preconditioned Momentum SGD Algorithm


Aug 28, 2020
Hanlin Tang, Shaoduo Gan, Samyam Rajbhandari, Xiangru Lian, Ji Liu, Yuxiong He, Ce Zhang

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Communication Compression for Decentralized Training


Sep 27, 2018
Hanlin Tang, Shaoduo Gan, Ce Zhang, Tong Zhang, Ji Liu

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