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DTSTAMP:20220812T074335Z
LOCATION:Rio Room
DTSTART;TZID=Europe/Stockholm:20220629T140000
DTEND;TZID=Europe/Stockholm:20220629T143000
UID:submissions.pasc-conference.org_PASC22_sess164_msa254@linklings.com
SUMMARY:Federated Data Systems: State-Of-The-Art Architectures, Methods an
 d Challenges
DESCRIPTION:Minisymposium\n\nFederated Data Systems: State-Of-The-Art Arch
 itectures, Methods and Challenges\n\nHaus\n\nThis presentation will give a
 n overview of current data sharing systems, categorize the landscape of fe
 derated learning approaches (such as multi-party computation, swarm learni
 ng, and sensor networks). It will also describe the challenges of trusted 
 code execution, in particular tying together end-to-end workflow security,
  securing code and data in transit / at rest / during execution, as well a
 s integration with identity and access management in an high-performance c
 omputing environment like the EuroHPC LUMI system. Dr Utz-Uwe Haus, Head o
 f Hewlett Packard Enterprise EMEA Research lab. He studied Mathematics and
  Computer Science at TU Berlin. After obtaining a Doctorate in at the Univ
 ersity of Magdeburg he worked on nonstandard applications of Mathematical 
 Optimization in Chemical Engineering, Material Science and Systems Biology
 . He has worked as a Senior Researcher at the Department of Mathematics at
  ETH Zürich, and also led the Cray European Research Lab in Basel, develop
 ing the Mathematical Optimization and Operations Research group, working o
 n data-dependency driven workflow optimization on future HPC architectures
 . One of his current projects involves secure computing in the Gaia-X cont
 ext.\n\nDomain: Computer Science and Applied Mathematics, Life Sciences
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