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FedRule: Federated Rule Recommendation System with Graph Neural Networks


Nov 13, 2022
Yuhang Yao, Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen, Carlee Joe-Wong, Tianqiang Liu


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FIRE: A Failure-Adaptive Reinforcement Learning Framework for Edge Computing Migrations


Sep 28, 2022
Marie Siew, Shikhar Sharma, Kun Guo, Chao Xu, Tony Q. S. Quek, Carlee Joe-Wong


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pFedDef: Defending Grey-Box Attacks for Personalized Federated Learning


Sep 17, 2022
Taejin Kim, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong

* 16 pages, 5 figures (11 images if counting sub-figures separately), longer version of paper submitted to CrossFL 2022 poster workshop, code available at (https://github.com/tj-kim/pFedDef_v1

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Hierarchical Conversational Preference Elicitation with Bandit Feedback


Sep 06, 2022
Jinhang Zuo, Songwen Hu, Tong Yu, Shuai Li, Handong Zhao, Carlee Joe-Wong


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Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms


Aug 31, 2022
Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C. S. Lui, Wei Chen


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Faithful Explanations for Deep Graph Models


May 24, 2022
Zifan Wang, Yuhang Yao, Chaoran Zhang, Han Zhang, Youjie Kang, Carlee Joe-Wong, Matt Fredrikson, Anupam Datta


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FedGCN: Convergence and Communication Tradeoffs in Federated Training of Graph Convolutional Networks


Feb 16, 2022
Yuhang Yao, Carlee Joe-Wong


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FedSoft: Soft Clustered Federated Learning with Proximal Local Updating


Dec 11, 2021
Yichen Ruan, Carlee Joe-Wong


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GCN-SE: Attention as Explainability for Node Classification in Dynamic Graphs


Oct 11, 2021
Yucai Fan, Yuhang Yao, Carlee Joe-Wong

* Accepted by ICDM 2021 

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