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FedSpaLLM: Federated Pruning of Large Language Models

Bai, Guangji; Li, Yijiang; Li, Zilinghan; Zhao, Liang; Kim, Kibaek (May 2025, ACL)

Free, publicly-accessible full text available May 7, 2026
FedSpaLLM: Federated Pruning of Large Language Models

https://doi.org/10.18653/v1/2025.naacl-long.424

Bai, Guangji; Li, Yijiang; Li, Zilinghan; Zhao, Liang; Kim, Kibaek (January 2025, Association for Computational Linguistics)

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FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications

https://doi.org/10.1109/ICDCS60910.2024.00060

Wilkins, Grant; Di, Sheng; Calhoun, Jon C; Li, Zilinghan; Kim, Kibaek; Underwood, Robert; Mortier, Richard; Cappello, Franck (July 2024, IEEE)

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FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications

https://doi.org/10.1109/IPDPSW63119.2024.00201

Wilkins, Grant; Di, Sheng; Calhoun, Jon C; Li, Zilinghan; Kim, Kibaek; Underwood, Robert; Mortier, Richard; Cappello, Franck (May 2024, IEEE)

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ViCTer: A semi-supervised video character tracker

https://doi.org/10.1016/j.mlwa.2023.100460

Li, Zilinghan; Wang, Xiwei; Zhang, Zhenning; Kindratenko, Volodymyr (June 2023, Machine Learning with Applications)

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