BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Asia/Kolkata
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20241015T181257Z
UID:D8465557-2D5E-42A6-8570-B1C27020928F
DTSTART;TZID=Asia/Kolkata:20240923T173000
DTEND;TZID=Asia/Kolkata:20240925T190000
DESCRIPTION:The WIE IEEE JUIT SB organized an insightful online workshop ti
 tled &quot;Innovations in Federated Learning: Python Applications &amp; Research Ex
 ploration&quot; from 23rd to 25th September 2024. This virtual event introduced
  40 students from various engineering disciplines to the growing field of 
 Federated Learning (FL)\, its practical applications\, and how Python can 
 be used to implement FL frameworks.\n\nThe two-day workshop offered a blen
 d of theoretical knowledge and hands-on Python exercises. Key topics inclu
 ded an overview of Federated Learning\, its significance in privacy-preser
 ving AI\, and the implementation of FL algorithms using Python frameworks 
 like TensorFlow Federated and PySyft. Use cases in healthcare\, finance\, 
 and IoT demonstrated FL’s real-world impact on privacy and data security
 .\n\nParticipants engaged in interactive sessions\, where they applied FL 
 techniques to practical problems like optimizing smart city infrastructure
  and securely sharing healthcare data. The event encouraged exploration of
  research in FL\, emphasizing privacy\, security\, and scalability.\n\nThe
  workshop received positive feedback for its engaging format and practical
  approach\, sparking interest among participants in further research and p
 rojects on Federated Learning.\n\nVirtual: https://events.vtools.ieee.org/
 m/439948
LOCATION:Virtual: https://events.vtools.ieee.org/m/439948
ORGANIZER:wieieee@juitsolan.in
SEQUENCE:28
SUMMARY:Workshop on Innovations in Federated Learning: Python Applications 
 &amp; Research Exploration
URL;VALUE=URI:https://events.vtools.ieee.org/m/439948
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;The WIE IEEE JUIT SB organized an insightf
 ul online workshop titled &quot;Innovations in Federated Learning: Python Appli
 cations &amp;amp\; Research Exploration&quot; from 23rd to 25th September 2024. Thi
 s virtual event introduced 40 students from various engineering discipline
 s to the growing field of Federated Learning (FL)\, its practical applicat
 ions\, and how Python can be used to implement FL frameworks.&lt;/p&gt;\n&lt;p&gt;&lt;img
  src=&quot;https://events.vtools.ieee.org/vtools_ui/media/display/14bfdf86-1ba0
 -41cd-a545-e283a5bce7cc&quot; width=&quot;431&quot; height=&quot;766&quot;&gt;&lt;/p&gt;\n&lt;p&gt;The two-day wor
 kshop offered a blend of theoretical knowledge and hands-on Python exercis
 es. Key topics included an overview of Federated Learning\, its significan
 ce in privacy-preserving AI\, and the implementation of FL algorithms usin
 g Python frameworks like TensorFlow Federated and PySyft. Use cases in hea
 lthcare\, finance\, and IoT demonstrated FL&amp;rsquo\;s real-world impact on 
 privacy and data security.&lt;/p&gt;\n&lt;p&gt;Participants engaged in interactive ses
 sions\, where they applied FL techniques to practical problems like optimi
 zing smart city infrastructure and securely sharing healthcare data. The e
 vent encouraged exploration of research in FL\, emphasizing privacy\, secu
 rity\, and scalability.&lt;/p&gt;\n&lt;p&gt;The workshop received positive feedback fo
 r its engaging format and practical approach\, sparking interest among par
 ticipants in further research and projects on Federated Learning.&lt;/p&gt;
END:VEVENT
END:VCALENDAR