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Huaiyu Dai
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Magnitude Matters: Fixing SIGNSGD Through Magnitude-Aware Sparsification in the Presence of Data Heterogeneity


Feb 19, 2023
Richeng Jin, Xiaofan He, Caijun Zhong, Zhaoyang Zhang, Tony Quek, Huaiyu Dai

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On the $f$-Differential Privacy Guarantees of Discrete-Valued Mechanisms


Feb 19, 2023
Richeng Jin, Zhonggen Su, Caijun Zhong, Zhaoyang Zhang, Tony Quek, Huaiyu Dai

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Graph Neural Networks Meet Wireless Communications: Motivation, Applications, and Future Directions


Dec 08, 2022
Mengyuan Lee, Guanding Yu, Huaiyu Dai, Geoffrey Ye Li

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* This paper is accepted by IEEE Wirel. Commun 
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Multi-Job Intelligent Scheduling with Cross-Device Federated Learning


Nov 24, 2022
Ji Liu, Juncheng Jia, Beichen Ma, Chendi Zhou, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou

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* To appear in TPDS; 22 pages, 17 figures, 8 tables. arXiv admin note: substantial text overlap with arXiv:2112.05928 
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Resource Constrained Vehicular Edge Federated Learning with Highly Mobile Connected Vehicles


Oct 27, 2022
Md Ferdous Pervej, Richeng Jin, Huaiyu Dai

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Privacy-Preserving Decentralized Inference with Graph Neural Networks in Wireless Networks


Aug 15, 2022
Mengyuan Lee, Guanding Yu, Huaiyu Dai

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* This paper has been submitted to TWC 
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Gradient Obfuscation Gives a False Sense of Security in Federated Learning


Jun 08, 2022
Kai Yue, Richeng Jin, Chau-Wai Wong, Dror Baron, Huaiyu Dai

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Mobility, Communication and Computation Aware Federated Learning for Internet of Vehicles


May 17, 2022
Md Ferdous Pervej, Jianlin Guo, Kyeong Jin Kim, Kieran Parsons, Philip Orlik, Stefano Di Cairano, Marcel Menner, Karl Berntorp, Yukimasa Nagai, Huaiyu Dai

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* 9 pages, 12 figures 
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FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server


Apr 25, 2022
Hong Zhang, Ji Liu, Juncheng Jia, Yang Zhou, Huaiyu Dai, Dejing Dou

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* To appear in IJCAI, 7 pages, 4 figures, 2 tables 
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Efficient Device Scheduling with Multi-Job Federated Learning


Dec 15, 2021
Chendi Zhou, Ji Liu, Juncheng Jia, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou

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* 14 pages, 7 figures, 6 tables 
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