BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Europe/Stockholm
X-LIC-LOCATION:Europe/Stockholm
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20220812T074357Z
LOCATION:Rio Room
DTSTART;TZID=Europe/Stockholm:20220629T140000
DTEND;TZID=Europe/Stockholm:20220629T160000
UID:submissions.pasc-conference.org_PASC22_sess164@linklings.com
SUMMARY:MS6E - "Share without Sharing" - Designing an Integrated Approach 
 for Health Data, Distributed Computing, Privacy and Advanced Analytics
DESCRIPTION:Minisymposium\n\nWith the modern-day explosion of health data,
  we are witnessing a fast-rising number of disconnected solutions, data si
 los, and varying opinions on how to best integrate the oceans of available
  information. There are evolving discussions on what is considered accepta
 ble regarding how these data should be used. Even if the discussions are p
 roductive, it is still questioned whether we have practical and robust tec
 hnologies to enable those ambitions. Are technology developers keeping tra
 ck of what society will accept? What are the real obstacles that prevent d
 istributed computing being a routine way of analysing health data? How can
  practical interdisciplinary ideas be effectively created and tested? In t
 his minisymposium we tackle the basics and promises of federated learning,
  as well as the complexities of this quickly growing field and the challen
 ges it faces. The presentations will describe current data sharing systems
  and federated learning approaches, how these approaches are becoming inte
 grated in hospital operations, as well as legal and value considerations t
 o be aware of. The talks will be followed by interactive discussions and e
 xchange of ideas with the audience.\n\nGap Analysis: “Share Without Sharin
 g” is More than Just Numerical Methods\n\nSingh\n\nThe panel session will 
 broaden the discussion to what are the missing pieces, beyond algorithms a
 nd systems architecture, for federated learning to be implemented as a rou
 tine practice in health data analysis. Suggestions from the audience will 
 also be discussed. Chair: Dr Raminderpal Singh, co-foun...\n\n------------
 ---------\nFirst Steps Towards Integration of Federated Learning in Hospit
 al Operations\n\nStieltjes, Lobo Gomes\n\nIn this talk we demonstrate how 
 providers of patient data, such as hospitals, are evolving their IT system
 s and analytics in order to optimise clinical workflows, and take advantag
 e of the federated nature of the data for analytics. Real-world project ex
 amples will be shown, to demonstrate the poten...\n\n---------------------
 \nHow the Healthcare Ecosystem is Taking an Integrated Approach to Distrib
 uted Computing, and Why\n\nAlexander\n\nIn this talk we will present the d
 ata on how the healthcare ecosystem is taking an integrated approach to di
 stributed computing, what kind of problems it helps to solve, and why. Spe
 cifically, we will describe technical progress in industry and academia, b
 ased on recent activities of the “Shar...\n\n---------------------\nFedera
 ted Data Systems: State-Of-The-Art Architectures, Methods and Challenges\n
 \nHaus\n\nThis presentation will give an overview of current data sharing 
 systems, categorize the landscape of federated learning approaches (such a
 s multi-party computation, swarm learning, and sensor networks). It will a
 lso describe the challenges of trusted code execution, in particular tying
  together end-...\n\n\nDomain: Computer Science and Applied Mathematics, L
 ife Sciences
END:VEVENT
END:VCALENDAR