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个人简介
My interest largely lies in the research, systems, and their practical applications related to efficient Machine Learning, Federated Learning (FL), and NLP.
I’ve published over 20 academic papers, a number of which I’ve led as the first author and were presented at top-tier conferences such as ICML, NeurIPS, ICLR, KDD, and ACL. In addition to this, I’m glad to have the opportunity to be founding/core contributor for several open-source projects, such as Data-Juicer (a text processing system for Large Language Models), FS-Real (an enhanced system enables scalable cross-device FL on phones, cars, embedded boards), pFL-Bench (a comprehensive benchmark for personalized FL) and FederatedScope (an easy-to-use FL platform).
I’ve published over 20 academic papers, a number of which I’ve led as the first author and were presented at top-tier conferences such as ICML, NeurIPS, ICLR, KDD, and ACL. In addition to this, I’m glad to have the opportunity to be founding/core contributor for several open-source projects, such as Data-Juicer (a text processing system for Large Language Models), FS-Real (an enhanced system enables scalable cross-device FL on phones, cars, embedded boards), pFL-Bench (a comprehensive benchmark for personalized FL) and FederatedScope (an easy-to-use FL platform).
研究兴趣
论文共 32 篇作者统计合作学者相似作者
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CoRR (2024)
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CoRR (2024)
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Dawei Gao,Zitao Li,Xuchen Pan,Weirui Kuang, Zhijian Ma,Bingchen Qian, Fei Wei, Wenhao Zhang, Yuexiang Xie,Daoyuan Chen,Liuyi Yao, Hongyi Peng,
arxiv(2024)
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CoRR (2024)
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arxiv(2024)
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PROCEEDINGS OF THE 29TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, KDD 2023pp.4743-4755, (2023)
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