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1 event 1 1 event, 1 3:00 pm - 6:30 pm Machine Learning over Networks: From Fundamentals to Applications. September 1 @ 3:00 pm - 6:30 pm Machine Learning over Networks: From Fundamentals to Applications. In this talk, we review sample results based on our recent work in the areas of machine learning over networks and edge intellligence. In particular, we touch upon our work on communication-efficient federated learning and its applications. In the first part of the talk, we shed light on topics pertaining to federated learning. First, we overview a second-order federated learning algorithm, coined Fed-Sophia, with communication and computation efficiency merits. Next, we introduce our recent work on second order state synchronization (SOSS) to address the limitations of Fed-Sophia with non-IID data. Afterwards we overview MIRA which proposes a novel approach of federated multi-task learning for fine-tuning LLMs. In the second part of the talk, we shift focus to edge intelligence applications in digital health with particular focus on CVD prediction. Finally, we present our work on architecting, designing and demonstrating a system prototype for multi-tier intelligence for IoT. Speaker(s): Dr. Tamer ElBatt Agenda: 3 PM to 4 PM: Networking 4 PM to 4:45 PM: Presentation 4:45 PM to 5:30 PM: Q&A 5:30 PM to 6:30 PM: Networking Room: 1308, Bldg: Sobrato Campus for Discovery and Innovation, 500 El Camino Real, Santa Clara, California, United States, 95053

1 event 2 1 event, 2 1:00 pm - 2:00 pm Distinguished Lecturer Series: Machine Learning over Networks: From Fundamentals to Applications September 2 @ 1:00 pm - 2:00 pm Distinguished Lecturer Series: Machine Learning over Networks: From Fundamentals to Applications In this talk, we review sample results based on our recent work in the areas of machine learning over networks and edge intellligence. In particular, we touch upon our work on communication-efficient federated learning and its applications. In the first part of the talk, we shed light on topics pertaining to federated learning. First, we overview a second-order federated learning algorithm, coined Fed-Sophia, with communication and computation efficiency merits. Next, we introduce our recent work on second order state synchronization (SOSS) to address the limitations of Fed-Sophia with non-IID data. Afterwards we overview MIRA which proposes a novel approach of federated multi-task learning for fine-tuning LLMs. In the second part of the talk, we shift focus to edge intelligence applications in digital health with particular focus on CVD prediction. Finally, we present our work on architecting, designing and demonstrating a system prototype for multi-tier intelligence for IoT. Speaker: Tamer ElBatt joined the Department of Computer Science and Engineering (CSE) at The American University in Cairo (AUC) as an associate professor in July 2017. He received his BSc and MSc degrees in Electronics and Communications Engineering (ECE) from Cairo University, Egypt in 1993 and 1996, respectively, and his PhD degree in ECE from the University of Maryland, College Park, USA, in 2000. From 2000 to 2009, he was with HRL Labs, United States, Argon ST (now part of The Boeing Company), United States, and Lockheed Martin ATC, the United States at various positions. From 2009 to 2017, he was with the EECE Department, Cairo University, as an assistant professor and later as an associate professor (currently on leave). He held a joint appointment with Nile University, Egypt, from 2009 to 2017 and served as the director of the wireless center (WINC) from 2012 to 2017. In Fall 2019, ElBatt had been promoted to professor. His research has been supported by NTRA, ITIDA, QNRF, FP7, H2020, GM, Microsoft, Google, Vodafone Foundation, and DARPA and is currently supported by the NTRA, ITIDA, and ASRT. He has published 130 publications and holds seven issued US patents and one WIPO patent. He was a visiting professor at Politecnico di Torino, Italy, Sabanci University, Turkey and University of Padova, Italy. He is the recipient of the 2014 Egypt’s state incentive award in Engineering Sciences, the 2012 Cairo University incentive award in Engineering Sciences and the Google faculty research award in 2011. His research interests lie in the broad areas of performance analysis, design and optimization of wireless, mobile and IoT networks. Room: BE-330, Bldg: Basking Engineering Building, Baskin Engineering School of Engineering, 606 Engineering Loop, Santa Cruz, California, United States, 95064, Virtual: https://events.vtools.ieee.org/m/574528

3 events 3 3 events, 3 6:00 pm - 10:00 pm Science Exploratorium : After Dark September 3 @ 6:00 pm - 10:00 pm Science Exploratorium : After Dark San Francisco Science Exploratoirum After Dark Exhibition. Unplug and play with 650+ interactive exhibits exploring science, art, and perception. Encounter the unexpected with programming that invites you into the worlds of the thinkers and creators changing our communities. Journey through total darkness in our twisting, turning, world-famous Tactile Dome. Get inquisitive and grab a drink. With 75,000 square feet of conversation starters, you'll never run out of things to talk about. Pier 15 Embarcadero at, Green St, San Francisco, California, United States, 94111, 6:00 pm - 10:00 pm Science Exploratorium : After Dark September 3 @ 6:00 pm - 10:00 pm Science Exploratorium : After Dark San Francisco Science Exploratoirum After Dark Exhibition. Unplug and play with 650+ interactive exhibits exploring science, art, and perception. Encounter the unexpected with programming that invites you into the worlds of the thinkers and creators changing our communities. Journey through total darkness in our twisting, turning, world-famous Tactile Dome. Get inquisitive and grab a drink. With 75,000 square feet of conversation starters, you'll never run out of things to talk about. Pier 15 Embarcadero at, Green St, San Francisco, California, United States, 94111, 7:00 pm - 8:00 pm When AI Changes the Rules: Delegation and Design of Team Work September 3 @ 7:00 pm - 8:00 pm When AI Changes the Rules: Delegation and Design of Team Work Abstract: AI is changing more than how quickly work gets done. It is changing who does the work, how tasks are delegated, and how teams should be organized. As AI becomes capable of generating designs, code, analysis, documentation, and ideas in minutes, managers face a new challenge: deciding what to delegate to AI, what to keep with people, and where human judgment remains essential. In this talk, Sean Murphy explores how engineering and design managers can rethink delegation and the design of teamwork in an AI-enabled organization. Rather than simply inserting AI into existing workflows, managers need to reconsider roles, responsibilities, review processes, and collaboration. The talk will examine practical ways to divide work between people and AI, keep humans accountable for important decisions, and redesign workflows as AI capabilities continue to evolve. Attendees will leave with three practical strategies for navigating uncertainty, experimenting safely with AI, and building teams that combine the speed of AI with human experience, creativity, and judgment. Speaker(s): Sean Murphy, Virtual: https://events.vtools.ieee.org/m/574868

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