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DTSTAMP:20240116T185911Z
LOCATION:E Concourse
DTSTART;TZID=America/Denver:20231114T100000
DTEND;TZID=America/Denver:20231114T170000
UID:submissions.supercomputing.org_SC23_sess290_drs127@linklings.com
SUMMARY:Corralling the Computing Continuum:  Mobilizing Modern Distributed
  Resources for Machine Learning and Accessible Computing
DESCRIPTION:Doctoral Showcase, Posters\n\nMatt Baughman (University of Chi
 cago)\n\nTo achieve the resource agnostic flexibility of compute described
  by the computing continuum, we combined our work in workload profiling an
 d cost estimation with task provisioning to present DELTA–a framework for 
 serverless workload placement across a computing ecosystem. To address the
  dynamic availability of modern computing resources as well as the multipl
 e costs involved in computing, we presented extensions of our framework as
  DELTA+ which demonstrated the ability for resource provisioning and multi
 dimensional compute costs. \n\nTo bring this idea of resource abstraction 
 via serverless into the rapidly growing field of federated learning, we de
 veloped and released FLoX: Federated Learning on funcX. This framework was
  built from the ground up around a serverless computing paradigm with expe
 rimentation and usability in mind. Extending the lessons learned from DELT
 A around self-adaptive systems, we began exploring the potential of automa
 ting tradeoffs found in FLoX and federated learning in general. \n\nLookin
 g ahead, we are developing FLoX into a much more robust framework to enabl
 e the use of a wide range of computing resources while abstracting away th
 e difficulties of configuring and optimizing a federated learning experime
 nt. Additionally, we are actively working on a re-release of DELTA with al
 l extensions combined into one framework with updated cost and execution t
 ime predictors and complete resource provisioning ability. Finally, we are
  designing an integration between FLoX and DELTA that will enable serverle
 ss-based FL to automatically place each component of an FL flow and move d
 ata as necessary to best use the available resources.\n\nTag: Cloud Comput
 ing, Distributed Computing\n\nRegistration Category: Tech Program Reg Pass
 , Exhibits Reg Pass
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