When Networking Meets Machine Learning - Intelligence at the Edge

17/08/21 - 17:30 - 19:00

Abstract

In this talk, we will examine the synergy and symbiosis between Networking and Machine Learning, including the recently emerging field of Edge Intelligence, which lies at the intersection of edge computing and machine learning. We will introduce what has been called the Edge Intelligence Continuum based on the levels of device, edge, and cloud involvement, including cloud-edge and edge-device cooperative intelligence, as well as on-device intelligence. We will also present some of our work on the intersection of Networking and ML and current research on exploring fully decentralized learning paradigms.

17/08/21 - 17:30 - 19:00

Short Bio

Katia Obraczka is a Professor of Computer Science and Engineering at UC Santa Cruz. Before UCSC, she was a Research Scientist at USC's Information Sciences Institute (ISI) and Research Faculty at USC's Computer Science Department. Her research spans computer networks and distributed systems. Her lab, the Internetwork Research Group (i-NRG) at UCSC, research designing/developing protocol architectures motivated by future internets, including wireless-, IoT, sensor-, and disruption-tolerant networks. She has been PI and co-PI on government-sponsored projects (NSF, DARPA, NASA, ARO, DoE, AFOSR) and industry (Cisco, Google, Nokia). She is currently Associate Editor for the IEEE Transactions on Mobile Computing and ACM Letters in Computer Science. She is a Fellow of the IEEE and has recently received the Santander Chair of Excellence 2020-2021 and the INRIA International Chair 2021-2025 awards.