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Towards Energy Efficient Federated Learning over 5G+ Mobile Devices

Jan 13, 2021
Dian Shi, Liang Li, Rui Chen, Pavana Prakash, Miao Pan, Yuguang Fang

* submitted to IEEE Wireless Communications 

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To Talk or to Work: Flexible Communication Compression for Energy Efficient Federated Learning over Heterogeneous Mobile Edge Devices

Dec 22, 2020
Liang Li, Dian Shi, Ronghui Hou, Hui Li, Miao Pan, Zhu Han

* Accepted for publication in INFOCOM'21 

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To Talk or to Work: Energy Efficient Federated Learning over Mobile Devices via the Weight Quantization and 5G Transmission Co-Design

Dec 21, 2020
Rui Chen, Liang Li, Kaiping Xue, Chi Zhang, Lingjia Liu, Miao Pan

* submitted to MOBIHOC 

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Evaluation of Inference Attack Models for Deep Learning on Medical Data

Oct 31, 2020
Maoqiang Wu, Xinyue Zhang, Jiahao Ding, Hien Nguyen, Rong Yu, Miao Pan, Stephen T. Wong

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Differentially Private (Gradient) Expectation Maximization Algorithm with Statistical Guarantees

Oct 22, 2020
Di Wang, Jiahao Ding, Zejun Xie, Miao Pan, Jinhui Xu

* Submiited. arXiv admin note: text overlap with arXiv:2010.09576 

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Effective Proximal Methods for Non-convex Non-smooth Regularized Learning

Oct 01, 2020
Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi

* Accepted by ICDM 2020, 24 pages 

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Towards Plausible Differentially Private ADMM Based Distributed Machine Learning

Aug 11, 2020
Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan

* Comments: Accepted for publication in CIKM'20 

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Codebook-Based Beam Tracking for Conformal ArrayEnabled UAV MmWave Networks

May 28, 2020
Jinglin Zhang, Wenjun Xu, Hui Gao, Miao Pan, Zhu Han, Ping Zhang

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Differentially Private and Fair Classification via Calibrated Functional Mechanism

Jan 14, 2020
Jiahao Ding, Xinyue Zhang, Xiaohuan Li, Junyi Wang, Rong Yu, Miao Pan

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Optimal Differentially Private ADMM for Distributed Machine Learning

Jan 07, 2019
Jiahao Ding, Yanmin Gong, Miao Pan, Zhu Han

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