Shaoduo Gan

According to our database, Shaoduo Gan authored at least 16 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

FRuDA: Framework for Distributed Adversarial Domain Adaptation.

Shaoduo Gan, Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane

IEEE Trans. Parallel Distributed Syst., 2022

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

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

CoRR, 2022

Stochastic Gradient Descent without Full Data Shuffle.

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

CoRR, 2022

In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle.

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

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

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

Bin Ji, Shasha Li, Shaoduo Gan, Jie Yu, Jun Ma, Huijun Liu, Jing Yang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

A System Study of Communication-Efficient Distributed Machine Learning.

Shaoduo Gan

PhD thesis, 2021

BAGUA: Scaling up Distributed Learning with System Relaxations.

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

Proc. VLDB Endow., 2021

Towards Demystifying Serverless Machine Learning Training.

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

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

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

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

Proceedings of the 38th International Conference on Machine Learning, 2021

Ease.ML: A Lifecycle Management System for Machine Learning.

Leonel Aguilar Melgar, David Dao, Shaoduo Gan, Nezihe Merve Gürel, Nora Hollenstein, Jiawei Jiang, Bojan Karlas, Thomas Lemmin, Tian Li, Yang Li, Susie Xi Rao, Johannes Rausch, Cédric Renggli, Luka Rimanic, Maurice Weber, Shuai Zhang, Zhikuan Zhao, Kevin Schawinski, Wentao Wu, Ce Zhang

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

2020

APMSqueeze: A Communication Efficient Adam-Preconditioned Momentum SGD Algorithm.

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

CoRR, 2020

2018

Decentralization Meets Quantization.

Hanlin Tang, Ce Zhang, Shaoduo Gan, Tong Zhang, Ji Liu

CoRR, 2018

Communication Compression for Decentralized Training.

Hanlin Tang, Shaoduo Gan, Ce Zhang, Tong Zhang, Ji Liu

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016

ERPC: An Edge-Resources Based Framework to Reduce Bandwidth Cost in the Personal Cloud.

Shaoduo Gan, Jie Yu, Xiaoling Li, Jun Ma, Lei Luo, Qingbo Wu, Shasha Li

Proceedings of the Web-Age Information Management - 17th International Conference, 2016

Intrusion detection in SCADA systems by traffic periodicity and telemetry analysis.

Jiexin Zhang, Shaoduo Gan, Xiaoxue Liu, Peidong Zhu

Proceedings of the IEEE Symposium on Computers and Communication, 2016

A novel optimization scheme for caching in locality-aware P2P networks.

Shaoduo Gan, Jiexin Zhang, Jie Yu, Xiaoling Li, Jun Ma, Lei Luo, Qingbo Wu

Proceedings of the IEEE Symposium on Computers and Communication, 2016