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职业迁徙
个人简介
I am broadly interested in research problems that lie at the intersection of Machine Learning, Distributed System, and Computer Architecture. My current research focus is on building intelligent machine learning systems over massive, highly-distributed, and continuously-changing data, such as concept drift learning, federated/decentralized learning, and automatic machine learning (AutoML).
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论文共 47 篇作者统计合作学者相似作者
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Sathiya Kumaran Mani, Yajie Zhou,Kevin Hsieh,Santiago Segarra, Trevor Eberl, Eliran Azulai, Ido Frizler,Ranveer Chandra,Srikanth Kandula
PROCEEDINGS OF THE 22ND ACM WORKSHOP ON HOT TOPICS IN NETWORKS, HOTNETS 2023 (2023): 196-204
Sathiya Kumaran Mani,Kevin Hsieh,Santiago Segarra, Trevor Eberl,Ranveer Chandra, Eliran Azulai, Narayan Annamalai,Deepak Bansal,Srikanth Kandula
PROCEEDINGS OF THE 22ND ACM WORKSHOP ON HOT TOPICS IN NETWORKS, HOTNETS 2023pp.272-279, (2023)
Conference on Machine Learning and Systems (MLSys) (2022)
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arxiv(2021)
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