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Yuhang Yao

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LLM Multi-Agent Systems: Challenges and Open Problems

Feb 05, 2024
Shanshan Han, Qifan Zhang, Yuhang Yao, Weizhao Jin, Zhaozhuo Xu, Chaoyang He

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Kick Bad Guys Out! Zero-Knowledge-Proof-Based Anomaly Detection in Federated Learning

Oct 06, 2023
Shanshan Han, Wenxuan Wu, Baturalp Buyukates, Weizhao Jin, Yuhang Yao, Qifan Zhang, Salman Avestimehr, Chaoyang He

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FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System

Mar 20, 2023
Weizhao Jin, Yuhang Yao, Shanshan Han, Carlee Joe-Wong, Srivatsan Ravi, Salman Avestimehr, Chaoyang He

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

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

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Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks

Dec 16, 2020
Yuhang Yao, Carlee Joe-Wong

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