BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
DTSTART:20250309T030000
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:EDT
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20251102T010000
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20251026T100606Z
UID:E51F3E2C-B2F1-4B01-8D09-BE3478BD165D
DTSTART;TZID=America/New_York:20251021T120000
DTEND;TZID=America/New_York:20251021T130000
DESCRIPTION:Join us for the fourth session of the exciting webinar series o
 n &quot;New Frontiers in Signal Processing in 6G Wireless Networks&quot;\, a collabo
 ration between IEEE Signal Processing\, IEEE Communications Society chapte
 rs in Ottawa\, and IEEE ComSoC Young Professionals.\n\nRegister now and st
 ay tuned for updates on upcoming speakers and topics!\n\nSpeaker(s): Prof.
  Ekram Hossain \n\nAgenda: \nFederated learning (FL) is a distributed mach
 ine learning setting where a centralized\nserver trains a learning model b
 y using remote devices. FL algorithms cannot be employed in\nwireless netw
 orks unless the unreliable and resource-constrained nature of the wireless
  medium\nis taken into account. In this talk\, I shall present an FL algor
 ithm that is suitable for cellular\nwireless networks in a real-world scen
 ario. I shall discuss its convergence properties and the\neffects of local
  computation steps and communication steps on its convergence. Through\nex
 periments on real and synthetic datasets\, I shall demonstrate the perform
 ance of the proposed\nalgorithm. Also\, I will present several application
 s of FL in wireless communications scenarios.\n\nVirtual: https://events.v
 tools.ieee.org/m/507457
LOCATION:Virtual: https://events.vtools.ieee.org/m/507457
ORGANIZER:monireh.vamegh@ieee.org
SEQUENCE:39
SUMMARY:Federated Learning in Cellular Wireless Networks
URL;VALUE=URI:https://events.vtools.ieee.org/m/507457
X-ALT-DESC:Description: &lt;br /&gt;&lt;p style=&quot;margin: 5.25pt 0in .0001pt 0in\;&quot;&gt;&lt;
 em&gt;&lt;span style=&quot;font-size: 13.5pt\; color: black\;&quot;&gt;Join us for the fourth
  session of the exciting webinar series on &quot;New Frontiers in Signal Proces
 sing in 6G Wireless Networks&quot;\, a collaboration between IEEE Signal Proces
 sing\, IEEE Communications Society chapters in Ottawa\, and IEEE ComSoC Yo
 ung Professionals.&amp;nbsp\;&lt;/span&gt;&lt;/em&gt;&lt;/p&gt;\n&lt;p style=&quot;margin: 5.25pt 0in .0
 001pt 0in\;&quot;&gt;&lt;em&gt;&lt;span style=&quot;font-size: 13.5pt\; color: black\;&quot;&gt;Register
  now and stay tuned for updates on upcoming speakers and topics!&lt;/span&gt;&lt;/e
 m&gt;&lt;/p&gt;\n&lt;p style=&quot;margin: 5.25pt 0in .0001pt 0in\;&quot;&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p style=
 &quot;margin: 5.25pt 0in .0001pt 0in\;&quot;&gt;&lt;em&gt;&lt;span style=&quot;font-size: 13.5pt\; co
 lor: black\;&quot;&gt;&lt;img src=&quot;https://events.vtools.ieee.org/vtools_ui/media/dis
 play/e11de040-6e49-4cc7-aab8-3f0cfccf3b2b&quot;&gt;&lt;/span&gt;&lt;/em&gt;&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Age
 nda: &lt;br /&gt;&lt;p&gt;&amp;nbsp\;Federated learning (FL) is a distributed machine lear
 ning setting where a centralized&lt;br&gt;server trains a learning model by usin
 g remote devices. FL algorithms cannot be employed in&lt;br&gt;wireless networks
  unless the unreliable and resource-constrained nature of the wireless med
 ium&lt;br&gt;is taken into account. In this talk\, I shall present an FL algorit
 hm that is suitable for cellular&lt;br&gt;wireless networks in a real-world scen
 ario. I shall discuss its convergence properties and the&lt;br&gt;effects of loc
 al computation steps and communication steps on its convergence. Through&lt;b
 r&gt;experiments on real and synthetic datasets\, I shall demonstrate the per
 formance of the proposed&lt;br&gt;algorithm. Also\, I will present several appli
 cations of FL in wireless communications scenarios.&lt;/p&gt;
END:VEVENT
END:VCALENDAR