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UID:1@edgeaihub.co.uk
DTSTART;TZID=Europe/London:20240501T100000
DTEND;TZID=Europe/London:20240501T110000
DTSTAMP:20260814T103536Z
URL:https://edgeaihub.co.uk/events/enhancing-analytics-speed-across-edge-a
 nd-cloud-computing-platform-solutions-and-optimizations/
SUMMARY:Enhancing Analytics Speed Across Edge and Cloud Computing: Platform
  Solutions and Optimizations
DESCRIPTION:Abstract: The rapid proliferation of edge computing devices\, r
 anging from Raspberry Pis to Nvidia Jetson accelerators\, complemented by 
 public and private cloud data centers\, offer a rich computing fabric to d
 eploy enterprise and machine learning workloads\, including training and i
 nferencing. This talk will explore some of our research into software plat
 forms and systems optimizations that help effectively and efficiently leve
 rage such distributed resources\, through: (1) Composable and resilient fe
 derated 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 orchestratio
 n platforms that operate across hybrid clouds and edge.\n\nBio: Yogesh Sim
 mhan 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 sca
 lable software platforms\, algorithms and applications on distributed syst
 ems. 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-rev
 iewed papers\, and won the Best Paper Award at IEEE International Conferen
 ce on Cloud Computing (CLOUD) 2019\, IEEE TCSC SCALE Challenge Award in 20
 19 and 2012\, the Distinguished Paper award at EuroPar 2018\, and the IEEE
 /ACM Supercomputing HPC Storage Challenge Award in 2008. He is the recipie
 nt 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 G
 eneration Computing System (FGCS)\, and earlier served as an Associate Edi
 tor of IEEE Transactions on Cloud Computing and a member of the IEEE Futur
 e Directions Initiative on Big Data.\n\nYogesh has a Ph.D. in Computer Sci
 ence 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 Dis
 tinguished Member of ACM\, a Distinguished Contributor of the IEEE Compute
 r Society and serves on the ACM India Executive Council.
CATEGORIES:Webinar
LOCATION:https://teams.microsoft.com/l/meetup-join/19%3ameeting_OTdiOTVlNjE
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