Xin Zhang

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors	2024	Chun-Yin Huang Kartik Srinivas Xin Zhang Xiaoxiao Li
+	PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities	2023	Zhuqing Liu Xin Zhang Songtao Lu Jia Liu
+	Understanding Privacy Over-collection in WeChat Sub-app Ecosystem	2023	Xiaohan Zhang Yan Wang Xin Zhang Ziqi Huang Lei Zhang Min Yang
+	NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized Federated Learning with Heterogeneous Data	2022	Xin Zhang Minghong Fang Zhuqing Liu Hai‐Bo Yang Jia Liu Zhengyuan Zhu
+	SAGDA: Achieving $\mathcal{O}(ε^{-2})$ Communication Complexity in Federated Min-Max Learning	2022	Hai‐Bo Yang Zhuqing Liu Xin Zhang Jia Liu
+	Anarchic Federated Learning	2021	Haibo Yang Xin Zhang Prashant Khanduri Jia Liu

Common Coauthors

Coauthor	Papers Together
Jia Liu	4
Zhuqing Liu	3
Hai‐Bo Yang	2
Minghong Fang	1
Songtao Lu	1
Yan Wang	1
Xiaohan Zhang	1
Lei Zhang	1
Xiaoxiao Li	1
Min Yang	1
Ziqi Huang	1
Chun-Yin Huang	1
Haibo Yang	1
Kartik Srinivas	1
Prashant Khanduri	1
Zhengyuan Zhu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Distributed delayed stochastic optimization	2012	Alekh Agarwal John C. Duchi	1
+	A Stochastic Gradient Method with an Exponential Convergence Rate for Finite Training Sets	2012	Nicolas Le Roux Mark Schmidt Francis Bach	1
+	GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network Training	2013	Thomas Paine Hailin Jin Shuicheng Yan Zhe Lin Thomas S. Huang	1
+	Federated Learning of Deep Networks using Model Averaging	2016	H. Brendan McMahan Eider Moore Daniel Ramage Blaise Agüera y Arcas	1
+	Federated Optimization: Distributed Machine Learning for On-Device Intelligence	2016	Jakub Konečný H. Brendan McMahan Daniel Ramage Peter Richtárik	1
+	Local SGD Converges Fast and Communicates Little	2018	Sebastian U. Stich	1
+	Cooperative SGD: A unified Framework for the Design and Analysis of Communication-Efficient SGD Algorithms	2018	Jianyu Wang Gauri Joshi	1
+	On the Ineffectiveness of Variance Reduced Optimization for Deep Learning.	2018	Aaron Defazio Léon Bottou	1
+	Federated Optimization in Heterogeneous Networks	2018	Li Tian Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith	1
+	Asynchronous Federated Optimization	2019	Cong Xie Oluwasanmi Koyejo Indranil Gupta	1
+	Fair Resource Allocation in Federated Learning	2019	Li Tian Maziar Sanjabi Ahmad Beirami Virginia Smith	1
+	HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent	2011	Feng Niu Benjamin Recht Christopher Ré Stephen J. Wright	1
+	On the Convergence of FedAvg on Non-IID Data	2019	Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang	1
+	Asynchronous Decentralized Parallel Stochastic Gradient Descent	2017	Xiangru Lian Wei Zhang Ce Zhang Ji Liu	1
+ PDF Chat	Minimizing finite sums with the stochastic average gradient	2016	Mark Schmidt Nicolas Le Roux Francis Bach	1
+ PDF Chat	Adaptive Federated Learning in Resource Constrained Edge Computing Systems	2019	Shiqiang Wang Tiffany Tuor Theodoros Salonidis Kin K. Leung Christian Makaya Ting He Kevin Chan	1
+	Optimization Methods for Large-Scale Machine Learning	2018	Léon Bottou Frank E. Curtis Jorge Nocedal	1
+ PDF Chat	Stochastic First- and Zeroth-Order Methods for Nonconvex Stochastic Programming	2013	Saeed Ghadimi Guanghui Lan	1
+	LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning	2018	Tianyi Chen Georgios B. Giannakis Tao Sun Wotao Yin	1
+	First Analysis of Local GD on Heterogeneous Data	2019	Ahmed Khaled Konstantin Mishchenko Peter Richtárik	1
+	LASG: Lazily Aggregated Stochastic Gradients for Communication-Efficient Distributed Learning	2020	Tianyi Chen Yuejiao Sun Wotao Yin	1
+	Adaptive Federated Optimization	2020	Sashank J. Reddi Zachary Charles Manzil Zaheer Zachary Garrett Keith Rush Jakub Konečný Sanjiv Kumar H. Brendan McMahan	1
+	FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data.	2020	Xinwei Zhang Mingyi Hong Sairaj V. Dhople Wotao Yin Yang Liu	1
+	SCAFFOLD: Stochastic Controlled Averaging for Federated Learning	2019	Sai Praneeth Karimireddy Satyen Kale Mehryar Mohri Sashank J. Reddi Sebastian U. Stich Ananda Theertha Suresh	1
+	Federated Learning's Blessing: FedAvg has Linear Speedup	2021	Zhaonan Qu Kaixiang Lin Zhaojian Li Jiayu Zhou Zhengyuan Zhou	1
+	Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning	2020	Sai Praneeth Karimireddy Martin Jaggi Satyen Kale Mehryar Mohri Sashank J. Reddi Sebastian U. Stich Ananda Theertha Suresh	1
+ PDF Chat	Federated Learning: Challenges, Methods, and Future Directions	2020	Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith	1
+ PDF Chat	Taming Convergence for Asynchronous Stochastic Gradient Descent with Unbounded Delay in Non-Convex Learning	2020	Xin Zhang Jia Liu Zhengyuan Zhu	1
+	Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning	2021	Haibo Yang Minghong Fang Jia Liu	1
+	Federated Learning Based on Dynamic Regularization	2021	Durmus Alp Emre Acar Yue Zhao Ramon Matas Navarro Matthew Mattina Paul N. Whatmough Venkatesh Saligrama	1