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Kevin Hsieh

Enhancing Network Management Using Code Generated by Large Language Models

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Aug 11, 2023
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Federated Learning under Distributed Concept Drift

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Jun 01, 2022
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FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations

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Feb 02, 2022
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Interpret-able feedback for AutoML systems

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Feb 22, 2021
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Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers

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Dec 19, 2020
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Machine Learning Systems for Highly-Distributed and Rapidly-Growing Data

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Oct 18, 2019
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The Non-IID Data Quagmire of Decentralized Machine Learning

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Oct 01, 2019
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Focus: Querying Large Video Datasets with Low Latency and Low Cost

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Jan 10, 2018
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D-SLATS: Distributed Simultaneous Localization and Time Synchronization

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Nov 10, 2017
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