Abstract: The rapid proliferation of edge computing devices, ranging from Raspberry Pis to Nvidia Jetson accelerators, complemented by public and private cloud data centers, offer a rich computing fabric to deploy enterprise and machine learning workloads, including training and inferencing. This talk will explore some of our research into software platforms and systems optimizations that help effectively and efficiently leverage such distributed resources, through: (1) Composable and resilient federated learning platforms for privacy-respecting training, (2) Modelling and optimization trade-offs of energy and time for training DNNs on edge accelerators, and (3) Functions as a Service (FaaS) workflow orchestration platforms that operate across hybrid clouds and edge.

Bio: Yogesh Simmhan is an Associate Professor in the Department of Computational and Data Sciences and a Swarna Jayanti Fellow at the Indian Institute of Science, Bangalore, where he leads the DREAM:Lab group. His research explores scalable software platforms, algorithms and applications on distributed systems. These span Cloud and Edge Computing, Temporal Graph Processing, and Distributed storage and machine learning to support emerging Big Data and Internet of Things (IoT) applications. He has published over 100 peer-reviewed papers, and won the Best Paper Award at IEEE International Conference on Cloud Computing (CLOUD) 2019, IEEE TCSC SCALE Challenge Award in 2019 and 2012, the Distinguished Paper award at EuroPar 2018, and the IEEE/ACM Supercomputing HPC Storage Challenge Award in 2008. He is the recipient of the IEEE TCSC Award for Excellence in Scalable Computing (Mid Career Researcher) in 2020. He is an Associate Editor-in-Chief of the Journal of Parallel and Distributed Systems (JPDC), an Associate Editor of Future Generation Computing System (FGCS), and earlier served as an Associate Editor of IEEE Transactions on Cloud Computing and a member of the IEEE Future Directions Initiative on Big Data.

Yogesh has a Ph.D. in Computer Science from Indiana University, Bloomington, and was previously a Research Assistant Professor at the University of Southern California (USC), Los Angeles, and a Postdoc at Microsoft Research, San Francisco. He is a Distinguished Member of ACM, a Distinguished Contributor of the IEEE Computer Society and serves on the ACM India Executive Council.