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Carlee Joe-Wong

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Fair Concurrent Training of Multiple Models in Federated Learning

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Apr 22, 2024
Marie Siew, Haoran Zhang, Jong-Ik Park, Yuezhou Liu, Yichen Ruan, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong

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TREACLE: Thrifty Reasoning via Context-Aware LLM and Prompt Selection

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Apr 17, 2024
Xuechen Zhang, Zijian Huang, Ege Onur Taga, Carlee Joe-Wong, Samet Oymak, Jiasi Chen

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Empowering Federated Learning with Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics

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Apr 15, 2024
Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su

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CoRAST: Towards Foundation Model-Powered Correlated Data Analysis in Resource-Constrained CPS and IoT

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Mar 27, 2024
Yi Hu, Jinhang Zuo, Alanis Zhao, Bob Iannucci, Carlee Joe-Wong

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An LLM-Based Digital Twin for Optimizing Human-in-the Loop Systems

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Mar 25, 2024
Hanqing Yang, Marie Siew, Carlee Joe-Wong

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Adversarial Robustness Unhardening via Backdoor Attacks in Federated Learning

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Oct 21, 2023
Taejin Kim, Jiarui Li, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong

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DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset

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Oct 20, 2023
Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen

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Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning

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Aug 19, 2023
Yi Hu, Jinhang Zuo, Bob Iannucci, Carlee Joe-Wong

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Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications

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Jun 01, 2023
Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su

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GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing

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May 23, 2023
Yi Hu, Chaoran Zhang, Edward Andert, Harshul Singh, Aviral Shrivastava, James Laudon, Yanqi Zhou, Bob Iannucci, Carlee Joe-Wong

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