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Huaiyu Dai
Distributed ADMM with Synergetic Communication and Computation

Sep 29, 2020
Zhuojun Tian, Zhaoyang Zhang, Jue Wang, Xiaoming Chen, Wei Wang, Huaiyu Dai

* Accepted for publication in IEEE TCOM 
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A Fast Graph Neural Network-Based Method for Winner Determination in Multi-Unit Combinatorial Auctions

Sep 29, 2020
Mengyuan Lee, Seyyedali Hosseinalipour, Christopher G. Brinton, Guanding Yu, Huaiyu Dai


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Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks

Aug 30, 2020
Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolo Michelusi, Vaneet Aggarwal, David J. Love, Huaiyu Dai

* 64 pages, 48 figures 
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From Federated Learning to Fog Learning: Towards Large-Scale Distributed Machine Learning in Heterogeneous Wireless Networks

Jun 07, 2020
Seyyedali Hosseinalipour, Christopher G. Brinton, Vaneet Aggarwal, Huaiyu Dai, Mung Chiang

* 7 pages, 4 figures 
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On the Design of Communication Efficient Federated Learning over Wireless Networks

Apr 15, 2020
Richeng Jin, Xiaofan He, Huaiyu Dai


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GeoDA: a geometric framework for black-box adversarial attacks

Mar 13, 2020
Ali Rahmati, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Huaiyu Dai

* In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 
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Accelerating Generalized Benders Decomposition for Wireless Resource Allocation

Mar 03, 2020
Mengyuan Lee, Ning Ma, Guanding Yu, Huaiyu Dai


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Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees

Feb 25, 2020
Richeng Jin, Yufan Huang, Xiaofan He, Huaiyu Dai, Tianfu Wu


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Distributed Byzantine Tolerant Stochastic Gradient Descent in the Era of Big Data

Mar 06, 2019
Richeng Jin, Xiaofan He, Huaiyu Dai


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Decentralized Differentially Private Without-Replacement Stochastic Gradient Descent

Sep 12, 2018
Richeng Jin, Xiaofan He, Huaiyu Dai

* The Abstract is revised 
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