Lian, Xiangru
- Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent
2017/05/25 by Xiangru Lian, Lian, Xiangru, Ce Zhang +9 · 48 citations
Computer Science · #Stochastic Gradient Optimization Techniques #Distributed Control Multi-Agent Systems #Age of Information Optimization
- D2: Decentralized Training over Decentralized Data
2018/03/19 by Hanlin Tang, Tang, Hanlin, Xiangru Lian +7 · 28 citations
Computer Science · #Stochastic Gradient Optimization Techniques #Privacy-Preserving Technologies in Data #Complexity and Algorithms in Graphs
- Asynchronous Decentralized Parallel Stochastic Gradient Descent
2017/10/18 by Xiangru Lian, Lian, Xiangru, Wei Zhang +5 · 19 citations
Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Privacy-Preserving Technologies in Data #Sparse and Compressive Sensing Techniques
- Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization
2015/06/27 by Lian, Xiangru, Huang, Yijun, Li, Yuncheng +1 · 9 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Optimization and Control (math.OC)
- DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
2021/06/11 by Daochen Zha, Zha, Daochen, Jingru Xie +11 · 7 citations
Computer Science · Psychology · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #Digital Games and Media #FOS: Computer and information sciences #Gambling Behavior and Treatments #Machine Learning (cs.LG)
- Staleness-aware Async-SGD for Distributed Deep Learning
2015/11/18 by Wei Zhang, Suyog Gupta, Zhang, Wei +5 · 6 citations
Computer Science · #Advanced Neural Network Applications #Stochastic Gradient Optimization Techniques #Adversarial Robustness in Machine Learning
- DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression
2019/05/15 by Tang, Hanlin, Lian, Xiangru, Yu, Chen +2 · 5 citations
#Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
- A Comprehensive Linear Speedup Analysis for Asynchronous Stochastic Parallel Optimization from Zeroth-Order to First-Order
2016/06/01 by Lian, Xiangru, Zhang, Huan, Hsieh, Cho-Jui +2 · 4 citations
#FOS: Mathematics #Optimization and Control (math.OC)
- Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters
2021/11/10 by Xiangru Lian, Binhang Yuan, Lian, Xiangru +51 · 3 citations
Computer Science · #Advanced Neural Network Applications #Distributed #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Parallel #Recommender Systems and Techniques #and Cluster Computing (cs.DC)
DeepSqueeze: Decentralization Meets Error-Compensated Compression
2019/07/17 by Tang, Hanlin, Lian, Xiangru, Qiu, Shuang +4 · 2 citations
#Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #and Cluster Computing (cs.DC)
- 1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed
2021/02/04 by Tang, Hanlin, Gan, Shaoduo, Awan, Ammar Ahmad +6 · 1 citation
#Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
- BAGUA: Scaling up Distributed Learning with System Relaxations
2021/07/03 by Gan, Shaoduo, Lian, Xiangru, Wang, Rui +11 · 1 citation
#Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)