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个人简介
Heiko Ludwig is a Research Staff Member and Senior Manager with IBM’s Almaden Research Center in San Jose, CA. Leading the AI Platforms research group, Heiko is currently working on topics related to computational platforms for AI, more specifically for machine learning, from Cloud to IOT. This includes infrastructure topics such as persistence for container orchestrators and performance management, as well as machine learning and inference privacy and security. The results of this work contribute to various IBM lines of business.
Throughout his career he was mostly dealing with issues of scaling systems, dependability and crossing organizational boundaries. These technically challenging topics evolve over time with the platforms we use and the applications we like to run on, from B2B applications on the early Internet to issues of mobile systems using the Cloud, to today's (federated) machine learning frameworks and applications. How to build systems and services that scale? How to monitor, manage performance effectively. How to reach over organizational boundaries, e.g., connecting processes of different providers, in a robust and secure way? Other topics include computer supported collaborative work, workflow management, rule-based systems and machine learning.
Throughout his career he was mostly dealing with issues of scaling systems, dependability and crossing organizational boundaries. These technically challenging topics evolve over time with the platforms we use and the applications we like to run on, from B2B applications on the early Internet to issues of mobile systems using the Cloud, to today's (federated) machine learning frameworks and applications. How to build systems and services that scale? How to monitor, manage performance effectively. How to reach over organizational boundaries, e.g., connecting processes of different providers, in a robust and secure way? Other topics include computer supported collaborative work, workflow management, rule-based systems and machine learning.
研究兴趣
论文共 183 篇作者统计合作学者相似作者
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Mayank Mishra, Matt Stallone,Gaoyuan Zhang,Yikang Shen, Aditya Prasad, Adriana Meza Soria,Michele Merler, Parameswaran Selvam, Saptha Surendran, Shivdeep Singh, Manish Sethi, Xuan-Hong Dang,
arxiv(2024)
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MACHINESno. 6 (2023): 636-636
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Swanand Ravindra Kadhe,Heiko Ludwig,Nathalie Baracaldo, Alan King,Yi Zhou,Keith Houck,Ambrish Rawat,Mark Purcell,Naoise Holohan, Mikio Takeuchi,Ryo Kawahara,Nir Drucker,
CoRR (2023)
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Federated Learningpp.1-23, (2022)
Federated Learningpp.177-191, (2022)
Springer eBookspp.455-466, (2022)
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