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Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy


Jun 25, 2021
Xinwei Zhang, Xiangyi Chen, Mingyi Hong, Zhiwei Steven Wu, Jinfeng Yi


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A method using deep learning to discover new predictors of CRT response from mechanical dyssynchrony on gated SPECT MPI


Jun 01, 2021
Zhuo He, Xinwei Zhang, Chen Zhao, Zhiyong Qian, Yao Wang, Xiaofeng Hou, Jiangang Zou, Weihua Zhou

* 10 pages, 3 figures, will submit to journal of nuclear cardiology 

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Deep Learning-based Physical-Layer Secret Key Generation for FDD Systems


May 18, 2021
Xinwei Zhang, Guyue Li, Junqing Zhang, Aiqun Hu, Zongyue Hou, Bin Xiao

* 13pages 

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Hybrid Federated Learning: Algorithms and Implementation


Dec 29, 2020
Xinwei Zhang, Wotao Yin, Mingyi Hong, Tianyi Chen


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Hybrid FL: Algorithms and Implementation


Dec 22, 2020
Xinwei Zhang, Wotao Yin, Mingyi Hong, Tianyi Chen


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Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention


Jun 15, 2020
Ce Ju, Ruihui Zhao, Jichao Sun, Xiguang Wei, Bo Zhao, Yang Liu, Hongshan Li, Tianjian Chen, Xinwei Zhang, Dashan Gao, Ben Tan, Han Yu, Yuan Jin

* 4 pages, 3 figures, 1 table, Accepted for Workshop on Federated Learning for Data Privacy and Confidentiality in Conjunction with IJCAI 2020 (FL-IJCAI'20) 

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FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data


May 26, 2020
Xinwei Zhang, Mingyi Hong, Sairaj Dhople, Wotao Yin, Yang Liu


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Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond


Jan 14, 2020
Tsung-Hui Chang, Mingyi Hong, Hoi-To Wai, Xinwei Zhang, Songtao Lu

* Submitted to IEEE Signal Processing Magazine Special Issue on Distributed, Streaming Machine Learning; THC, MH, HTW contributed equally 

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A Communication Efficient Vertical Federated Learning Framework


Dec 27, 2019
Yang Liu, Yan Kang, Xinwei Zhang, Liping Li, Yong Cheng, Tianjian Chen, Mingyi Hong, Qiang Yang


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Semi-supervised Logistic Learning Based on Exponential Tilt Mixture Models


Jun 19, 2019
Xinwei Zhang, Zhiqiang Tan


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