BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20250309T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20241103T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250201T213914Z UID:072AD7C2-4D6D-414D-B593-8CBBF90DF465 DTSTART;TZID=America/Los_Angeles:20250130T173000 DTEND;TZID=America/Los_Angeles:20250130T193000 DESCRIPTION:Fog learning is an emerging paradigm for optimizing the orchest ration of artificial intelligence services over contemporary network syste ms. Different from existing distributed techniques such as federated learn ing\, fog learning emphasizes intrinsically in its design the unique node\ , network\, and data properties encountered in today’s fog networks that span computing elements from the edge to the cloud. An important thread o f research in fog learning has been on understanding the role that local t opologies formed on an ad-hoc basis among proximal groups of heterogeneous computing elements can play in elevating the achievable tradeoff between intelligence quality and resource efficiency. In this talk\, I will discus s recent results on the analysis of fog learning processes which give insi ghts into the impact that these topologies\, along with other properties s uch as model characteristics and fog decision parameters\, have on global training performance. Additionally\, I will discuss the development of ada ptive control methodologies that leverage such relationships for jointly o ptimizing relevant fog learning metrics.\n\nBio\n\n[]\nGoogle Meet joining info\nVideo call link: https://meet.google.com/tou-dzbi-obi\n\nChristophe r G. Brinton is the Elmore Associate Professor of Electrical and Computer Engineering (ECE) at Purdue University.\n\nHis research interest is at the intersection of networking\, communications\, and machine learning\, spec ifically in fog/edge network intelligence\, distributed machine learning\, and AI/ML-inspired wireless network optimization. Dr. Brinton is a recipi ent of five of the US top early career awards\, from the National Science Foundation (CAREER)\, Office of Naval Research (YIP)\, Defense Advanced Re search Projects Agency (YFA and Director’s Fellowship)\, and Air Force O ffice of Scientific Research (YIP)\, the IEEE Communication Society Willia m Bennett Prize Best Paper Award\, the Intel Rising Star Faculty Award\, t he Qualcomm Faculty Award\, and roughly $17M in sponsored research project s as a PI or co-PI. He has also been awarded Purdue College of Engineering Faculty Excellence Awards in Early Career Research\, Early Career Teachin g\, and Online Learning. He currently serves as an Associate Editor for IE EE/ACM Transactions on Networking\, and previously was an Associate Editor for IEEE Transactions on Wireless Communications.\n\nPrior to joining Pur due\, Dr. Brinton was the Associate Director of the EDGE Lab and a Lecture r of Electrical Engineering at Princeton University.\n\nHe also co-founded Zoomi Inc.\, a big data startup company that holds US Patents in machine learning for education. His book The Power of Networks: 6 Principles That Connect our Lives and associated Massive Open Online Courses\n\nAgenda: \n 5:00-5:30 – Networking & Introductions\n5:30 PM - 6:30 - Presentation an d Q&A\n6:30 PM – 7:30 PM – Networking\, Food and Refreshments\n\n10401 Roselle Street\, San Diego\, California\, United States 92121\nBuilding: ATEC\nDate & Time: Thursday 30th Jan 2025\nLocation: Advanced Test Equipme nt Rentals\, 10401 Roselle St\, San Diego\, CA92121 https://www.google.com /maps/place/10401+Roselle+St\,+San+Diego\,+CA+92121/\n\nGoogle Meet joinin g info\nVideo call link: https://meet.google.com/tou-dzbi-obi\n\nBldg: Adv anced Test Equipment Rentals\, 10401 Roselle St\, San Diego\, California\, United States\, 92121\, Virtual: https://events.vtools.ieee.org/m/447792 LOCATION:Bldg: Advanced Test Equipment Rentals\, 10401 Roselle St\, San Die go\, California\, United States\, 92121\, Virtual: https://events.vtools.i eee.org/m/447792 ORGANIZER:zhenshengz@gmail.com SEQUENCE:13 SUMMARY:From Federated to Fog Learning: Expanding the Frontier of Model Tra ining over Contemporary Wireless Network Systems URL;VALUE=URI:https://events.vtools.ieee.org/m/447792 X-ALT-DESC:Description: <br /><p>Fog learning is an emerging paradigm for o ptimizing the orchestration of artificial intelligence services over conte mporary network systems. Different from existing distributed techniques su ch as federated learning\, fog learning emphasizes intrinsically in its de sign the unique node\, network\, and data properties encountered in today& rsquo\;s fog networks that span computing elements from the edge to the cl oud. An important thread of research in fog learning has been on understan ding the role that local topologies formed on an ad-hoc basis among proxim al groups of heterogeneous computing elements can play in elevating the ac hievable tradeoff between intelligence quality and resource efficiency. In this talk\, I will discuss recent results on the analysis of fog learning processes which give insights into the impact that these topologies\, alo ng with other properties such as model characteristics and fog decision pa rameters\, have on global training performance. Additionally\, I will disc uss the development of adaptive control methodologies that leverage such r elationships for jointly optimizing relevant fog learning metrics.</p>\n<p >Bio</p>\n<p><img src="https://events.vtools.ieee.org/vtools_ui/media/disp lay/819b6e87-7e39-4add-8069-3cb12d3a534c" alt="" width="105" height="145"> <br><strong>Google Meet joining info</strong><br><strong>Video call link: https://meet.google.com/tou-dzbi-obi</strong></p>\n<p>Christopher G. Brint on is the Elmore Associate Professor of Electrical and Computer Engineerin g (ECE) at Purdue University.</p>\n<p>His research interest is at the inte rsection of networking\, communications\, and machine learning\, specifica lly in fog/edge network intelligence\, distributed machine learning\, and AI/ML-inspired wireless network optimization. Dr. Brinton is a recipient o f five of the US top early career awards\, from the National Science Found ation (CAREER)\, Office of Naval Research (YIP)\, Defense Advanced Researc h Projects Agency (YFA and Director&rsquo\;s Fellowship)\, and Air Force O ffice of Scientific Research (YIP)\, the IEEE Communication Society Willia m Bennett Prize Best Paper Award\, the Intel Rising Star Faculty Award\, t he Qualcomm Faculty Award\, and roughly $17M in sponsored research project s as a PI or co-PI. He has also been awarded Purdue College of Engineering Faculty Excellence Awards in Early Career Research\, Early Career Teachin g\, and Online Learning. He currently serves as an Associate Editor for IE EE/ACM Transactions on Networking\, and previously was an Associate Editor for IEEE Transactions on Wireless Communications.</p>\n<p>Prior to joinin g Purdue\, Dr. Brinton was the Associate Director of the EDGE Lab and a Le cturer of Electrical Engineering at Princeton University.</p>\n<p>He also co-founded Zoomi Inc.\, a big data startup company that holds US Patents i n machine learning for education. His book The Power of Networks: 6 Princi ples That Connect our Lives and associated Massive Open Online Courses</p> <br /><br />Agenda: <br /><p>5:00-5:30 &ndash\; Networking &amp\; Introduc tions<br><span style="color: rgb(224\, 62\, 45)\;"><strong>5:30 PM - 6:30 - Presentation and Q&amp\;A&nbsp\;</strong></span><br>6:30 PM &ndash\; 7:3 0 PM &ndash\; Networking\, Food and Refreshments</p>\n<p><br>10401 Roselle Street\, San Diego\, California\, United States 92121<br>Building: ATEC<b r>Date &amp\; Time: &nbsp\;Thursday 30th Jan 2025<br>Location: Advanced Te st Equipment Rentals\, 10401 Roselle St\, San Diego\, CA92121 <a href="htt ps://www.google.com/maps/place/10401+Roselle+St\,+San+Diego\,+CA+92121/">h ttps://www.google.com/maps/place/10401+Roselle+St\,+San+Diego\,+CA+92121/< /a></p>\n<p><strong>Google Meet joining info</strong><br><strong>Video cal l link: https://meet.google.com/tou-dzbi-obi</strong></p> END:VEVENT END:VCALENDAR