"Dynamic Distributed Computing for Autonomous Vehicles in 5G Infrastructures" IEEE OCCS & OC ACM Mtg
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Event Details
Neural networks are becoming a central component of a broad range of applications. However, the complexity of the tasks, the diversity of operating contexts, as well as channel and computing resource scarcity challenge the effective deployment of neural models in many relevant scenarios. In this talk, I will provide an overview of the techniques and frameworks that my research group developed to allow flexible, efficient and resilient distributed neural computing for robotic perception and autonomous navigation. Our approaches deeply integrate system and machine learning to obtain practical solutions deployable on real-world hardware platforms and applications.
About the Speaker Marco Levorato
Marco Levorato is a Professor in the Computer Science department at the University of California, Irvine. He completed the PhD in Electrical Engineering at the University of Padova, Italy, in 2009. Between 2010 and 2012, he was a postdoctoral researcher with a joint affiliation at Stanford and the University of Southern California. His research interests are focused on distributed computing over unreliable wireless systems, especially for autonomous vehicles and robotic applications. His work received the best paper award at IEEE GLOBECOM (2012). In 2016 and 2019, he received the UC Hellman Foundation Award and the Dean mid-career research award, respectively. His research is funded by the National Science Foundation, the Department of Defense, Intel and Cisco. In 2020-2021, he was the vice chair of the IEEE Technical Committee on Smart Grid Communications. He serves in the TPC of IEEE Infocom, IEEE Secon, IEEE Percom, IEEE ICDCS and ACM MobiHoc, is an associate editor of the IEEE Transactions on Communications and was part of the organizing committee of several IEEE and ACM conferences, including IEEE Secon 2022 and 2017, ACM MobiSys 2015 and ACM MobiCom 2015 and 2014. He delivered the keynote speech at IEEE HealthCom 2022 and IEEE MedComNet 2023.
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Date and Time
Location
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Registration
- Date: 20 Mar 2024
- Time: 06:30 PM to 08:30 PM
- All times are (GMT-08:00) US/Pacific
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- Co-sponsored by OC ACM [Actual Host] and Knobbe Martens, a Intellectual Property & technology law firm [Physical Host Donor]
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Agenda
6:30 PM Networking at physical meeting location
7:00 PM Announcements and Presentation with Q&A
8:00 PM Follow-up quesitons for presenter and networking
8:30 PM Meeting Adjourned
Please fill out the three question Survey for IEEE attendance (last link under "Hosts") and a link to the recording when available.
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