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SUMMARY:Introduction to Federated Learning
DTSTART:20261013T120000Z
DTEND:20261013T130000Z
DTSTAMP:20261014T043000Z
UID:indico-event-318@events.asc.ac.at
CONTACT:training@ai-at.eu
DESCRIPTION:Date: 13 October 2026\, 14:00 – 15:00 (CEST)Price: Free (f
 or eligible participants)Format: AI:AT Webinar\, ONLINE (Zoom)Target audi
 ence: Industry\, public admin\, academiaLanguage: EnglishOrganizer: AI:
 ATDiscover the future of collaborative AI - without sharing sensitive data
 . This webinar offers an accessible introduction to federated learning\, d
 esigned for beginners with no prior experience. We’ll break down the cor
 e concepts and explain why federated learning is transforming how organiza
 tions work with data. Curious how organizations can build powerful AI mod
 els without ever centralizing their data? Join our webinar and step into t
 he world of federated learning - one of the most exciting and rapidly evol
 ving approaches in modern machine learning. This session is designed speci
 fically for newcomers. We start from the very basics and guide you through
  the full journey: from understanding the limitations of traditional centr
 alized learning to discovering how federated learning enables collaboratio
 n across devices and organizations while preserving privacy and data owner
 ship.You’ll learn:• Why federated learning matters now in an era of st
 rict data protection and distributed data sources• How it works under th
 e hood\, including model training\, aggregation\, and communication betwee
 n participants• Key challenges and trade-offs\, such as data heterogenei
 ty\, communication efficiency\, and security considerations• Real-world 
 applications\, from healthcare and finance to mobile devices and edge comp
 uting• Where the field is heading\, and how you can start exploring it y
 ourselfWhether you're a data scientist\, engineer\, decision-maker\, or si
 mply curious about AI innovations\, this webinar will give you a solid fou
 ndation and practical intuition for a technique that is shaping the future
  of machine learning. Don’t miss this opportunity to demystify federated
  learning and discover how you can leverage it in your own projects or org
 anization.Target audienceThe webinar is aimed at everyone interested in un
 derstanding and/or applying Federated Learning.This webinar is open and fr
 ee of charge for all participants from academia\, industry\, and public ad
 ministration from EU and/or EuroHPC JU member countries.Entry level & prer
 equisitesBeginner - no prior experience required.AgendaWelcome & Presentat
 ion of AI Factory Austria AI:ATIntroduction and fundamentals of Federated 
 LearningThe Federated Learning workflowExample use cases and frameworksQue
 stions & Discussion SpeakersSarah Reisenbauer (AIT Austrian Institute of 
 Technology)      Sarah Reisenbauer works in the areas of data analyt
 ics and machine learning at the Austrian Institute of Technology (AIT)\, c
 enter for energy. She has absolved her bachelor and master studies in tech
 nical physics at the Vienna University of Technology. In the following doc
 toral studies\, she conducted experiments in the fields of quantum optics 
 and quantum information. Since 2021 she has been working as a research eng
 ineer and project coordinator at AIT with a focus on electric power system
  digitalization by means of artificial intelligence. Main activities of he
 r work are in the areas of data analytics\, the determination of the state
  of the electric distribution grid and forecasting of electric energy gene
 ration and loads.  RegistrationRegistration is required\, the link to th
 e registration form can be found on the top of this page in the menu on th
 e left. Please register with your official institutional email address to 
 prove your affiliation.You will get the Zoom link in the automatic confirm
 ation by email (subject starting with "[Indico] Registration")\, please ch
 eck your Spam/Junk folders). We will also send 1–2 reminders before the 
 webinar.Please do not hesitate to contact us at training@ai-at.eu if you h
 ave any questions.Modification\, withdrawal & no-show policyYour registrat
 ion is binding. Please only register for the course if you are really goin
 g to attend.You can update your registration data or withdraw your registr
 ation anytime before the registration form has been closed via the link "M
 anage my registration" which you can find at the bottom of your automatic 
 email confirmation (subject starting with "[Indico] Registration").Alterna
 tively\, or after the registration form has been closed\, please inform us
  about your cancelation or any change in your registration data (especiall
 y your mobile-phone number) via email (training@ai-at.eu).No-show policy: 
 If you do not cancel and do not show up at the course you will be blacklis
 ted and excluded from future training events.OrganizersThis webinar is org
 anized by AI Factory Austria AI:AT.AcknowledgementsAI Factory Austria AI:A
 T has received funding from the European High-Performance Computing Joint 
 Undertaking (JU) under grant agreement No 101253078. The JU receives suppo
 rt from the Horizon Europe Programm of the European Union and Austria (BMI
 MI / FFG). \n\nhttps://events.asc.ac.at/event/318/
LOCATION:Zoom (ONLINE)
URL:https://events.asc.ac.at/event/318/
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