Xin Zhang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 25

Top Topics

Stochastic Gradient Descent

Policy Evaluation

Distributed Learning

Top Venues

Publications

Hua Zheng, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Wen-Yen Chen, Wei Wen
SiGeo: Sub-One-Shot NAS via Geometry of Loss Landscape. KDD (2024)
Weidong Liu, Xiaojun Mao, Xiaofei Zhang, Xin Zhang
Efficient Sparse Least Absolute Deviation Regression With Differential Privacy. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Wei Wen, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Hang Yin, Weiwei Chu, Kaveh Hassani, Mengying Sun, Jiang Liu, Xu Wang, Lin Jiang, Yuxin Chen, Buyun Zhang, Xi Liu, Dehua Cheng, Zhengxing Chen, Guang Zhao, Fangqiu Han, Jiyan Yang, Yuchen Hao, Liang Xiong, Wen-Yen Chen
Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale. WWW (Companion Volume) (2024)
Zhuqing Liu, Xin Zhang, Songtao Lu, Jia Liu
PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities. MobiHoc (2023)
Haibo Yang, Xin Zhang, Prashant Khanduri, Jia Liu
Anarchic Federated Learning. ICML (2022)
Zhuqing Liu, Xin Zhang, Jia Liu
SYNTHESIS: A Semi-Asynchronous Path-Integrated Stochastic Gradient Method for Distributed Learning in Computing Clusters. CoRR (2022)
Zhuqing Liu, Xin Zhang, Prashant Khanduri, Songtao Lu, Jia Liu
INTERACT: achieving low sample and communication complexities in decentralized bilevel learning over networks. MobiHoc (2022)
Haibo Yang, Zhuqing Liu, Xin Zhang, Jia Liu
SAGDA: Achieving $\mathcal{O}(\epsilon^{-2})$ Communication Complexity in Federated Min-Max Learning. NeurIPS (2022)
Zhuqing Liu, Xin Zhang, Prashant Khanduri, Songtao Lu, Jia Liu
INTERACT: Achieving Low Sample and Communication Complexities in Decentralized Bilevel Learning over Networks. CoRR (2022)
Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth Serena Bentley
GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning. MobiHoc (2021)
Xin Zhang, Zhuqing Liu, Jia Liu, Zhengyuan Zhu, Songtao Lu
Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning. NeurIPS (2021)
Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley
GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning. CoRR (2021)
Xin Zhang, Minghong Fang, Jia Liu, Zhengyuan Zhu
Private and Communication-Efficient Edge Learning: A Sparse Differential Gaussian-Masking Distributed SGD Approach. CoRR (2020)
Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley
Communication-Efficient Network-Distributed Optimization with Differential-Coded Compressors. INFOCOM (2020)
Xin Zhang, Minghong Fang, Jia Liu, Zhengyuan Zhu
Private and communication-efficient edge learning: a sparse differential gaussian-masking distributed SGD approach. MobiHoc (2020)
Haibo Yang, Xin Zhang, Minghong Fang, Jia Liu
Adaptive Multi-Hierarchical signSGD for Communication-Efficient Distributed Optimization. SPAWC (2020)
Xin Zhang, Jia Liu, Zhengyuan Zhu
Taming Convergence for Asynchronous Stochastic Gradient Descent with Unbounded Delay in Non-Convex Learning. CDC (2020)
Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley
Compressed Distributed Gradient Descent: Communication-Efficient Consensus over Networks. INFOCOM (2019)
Haibo Yang, Xin Zhang, Minghong Fang, Jia Liu
Byzantine-Resilient Stochastic Gradient Descent for Distributed Learning: A Lipschitz-Inspired Coordinate-wise Median Approach. CDC (2019)
Xin Zhang, Jia Liu, Zhengyuan Zhu
Distributed Linear Model Clustering over Networks: A Tree-Based Fused-Lasso ADMM Approach. CoRR (2019)
Xin Zhang, Zhengyuan Zhu
Spatial CUSUM for Signal Region Detection. CoRR (2019)
Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley
Communication-Efficient Network-Distributed Optimization with Differential-Coded Compressors. CoRR (2019)
Haibo Yang, Xin Zhang, Minghong Fang, Jia Liu
Byzantine-Resilient Stochastic Gradient Descent for Distributed Learning: A Lipschitz-Inspired Coordinate-wise Median Approach. CoRR (2019)
Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley
Compressed Distributed Gradient Descent: Communication-Efficient Consensus over Networks. CoRR (2018)
Xin Zhang, Jia Liu, Zhengyuan Zhu
Taming Convergence for Asynchronous Stochastic Gradient Descent with Unbounded Delay in Non-Convex Learning. CoRR (2018)