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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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