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DTSTART:20270314T030000
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DTSTART:20261101T010000
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DTSTAMP:20261103T201920Z
UID:82D48E7E-6901-40C9-A152-739BC47C595B
DTSTART;TZID=America/Los_Angeles:20261103T163000
DTEND;TZID=America/Los_Angeles:20261103T190000
DESCRIPTION:The shift toward physical AI\, IoT and on-device agents\, combi
 ned with privacy\, latency and\nbandwidth constraints\, is driving the nee
 d for distributed intelligence at the edge. Distributed AI\nunlocks siloed
  data and enables collaborative learning across devices while keeping data
  local.\nHowever\, it faces challenges from limited and heterogeneous edge
  resources (data\, computation\nand connectivity)\, the need to learn cont
 inually from streaming data\, and new security and privacy\nthreats. This 
 talk gives an overview of our research on making distributed and federated
  AI both\nefficient and trustworthy\, spanning resource-efficient and cont
 inual federated learning\,\nhyperdimensional computing\, and adversarial r
 obustness and privacy. It also highlights our open-\nsource tools: OpenFL\
 , MART\, LLMart and ATLAS. The talk closes with future directions for secu
 ring\nemerging multi-agent and distributed AI systems.\n\nCo-sponsored by:
  Santa Clara University\n\nSpeaker(s): Dr. Nageen Himayat\, \n\nAgenda: \n
 Time	Activity\n4:30-5:00 PM	Reception\, networking &amp; refreshments\n5:00-5:
 45 PM	Dr. Himayat&#39;s presentation\n5:45-6:00 PM	Q&amp;A\n6:00-6:45 PM	Dinner\, 
 networking\n\nRoom: 4010\, Bldg: Sobrato Campus for Discovery and Innovati
 on (SCDI)\, Santa Clara University\, 500 El Camino Real\, Santa Clara\, Ca
 lifornia\, United States\, 95053
LOCATION:Room: 4010\, Bldg: Sobrato Campus for Discovery and Innovation (SC
 DI)\, Santa Clara University\, 500 El Camino Real\, Santa Clara\, Californ
 ia\, United States\, 95053
ORGANIZER:bdezfouli@scu.edu
SEQUENCE:17
SUMMARY:Ensuring Resilience and Efficiency in Distributed AI Systems
URL;VALUE=URI:https://events.vtools.ieee.org/m/589853
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;The shift toward physical AI\, IoT and on-
 device agents\, combined with privacy\, latency and&lt;br&gt;bandwidth constrain
 ts\, is driving the need for distributed intelligence at the edge. Distrib
 uted AI&lt;br&gt;unlocks siloed data and enables collaborative learning across d
 evices while keeping data local.&lt;br&gt;However\, it faces challenges from lim
 ited and heterogeneous edge resources (data\, computation&lt;br&gt;and connectiv
 ity)\, the need to learn continually from streaming data\, and new securit
 y and privacy&lt;br&gt;threats. This talk gives an overview of our research on m
 aking distributed and federated AI both&lt;br&gt;efficient and trustworthy\, spa
 nning resource-efficient and continual federated learning\,&lt;br&gt;hyperdimens
 ional computing\, and adversarial robustness and privacy. It also highligh
 ts our open-&lt;br&gt;source tools: OpenFL\, MART\, LLMart and ATLAS. The talk c
 loses with future directions for securing&lt;br&gt;emerging multi-agent and dist
 ributed AI systems.&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;table dir=&quot;ltr&quot; border=&quot;
 1&quot; cellspacing=&quot;0&quot; cellpadding=&quot;0&quot;&gt;&lt;colgroup&gt;&lt;col width=&quot;122&quot;&gt;&lt;col width=&quot;
 237&quot;&gt;&lt;/colgroup&gt;\n&lt;tbody&gt;\n&lt;tr&gt;\n&lt;td&gt;Time&lt;/td&gt;\n&lt;td&gt;Activity&lt;/td&gt;\n&lt;/tr&gt;\n
 &lt;tr&gt;\n&lt;td&gt;4:30-5:00 PM&lt;/td&gt;\n&lt;td&gt;Reception\, networking &amp;amp\; refreshment
 s&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr&gt;\n&lt;td&gt;5:00-5:45 PM&lt;/td&gt;\n&lt;td&gt;Dr. Himayat&#39;s presentation
 &lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr&gt;\n&lt;td&gt;5:45-6:00 PM&lt;/td&gt;\n&lt;td&gt;Q&amp;amp\;A&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr&gt;\
 n&lt;td&gt;6:00-6:45 PM&lt;/td&gt;\n&lt;td&gt;Dinner\, networking&lt;/td&gt;\n&lt;/tr&gt;\n&lt;/tbody&gt;\n&lt;/t
 able&gt;
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