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Fed-RAC: Resource-Aware Clustering for Tackling Heterogeneity of Participants in Federated Learning

  • Rahul Mishra
  • , Hari Prabhat Gupta
  • , Garvit Banga
  • , Sajal K. Das

Research output: Contribution to journal › Article › peer-review

Original languageEnglish
Pages (from-to)1207-1220
Number of pages14
JournalIEEE Transactions on Parallel and Distributed Systems
Volume35
Issue number7
DOIs
StatePublished - Jul 1 2024

ASJC Scopus Subject Areas

  • Signal Processing
  • Hardware and Architecture
  • Computational Theory and Mathematics

Keywords

  • Adaptation models
  • Computational modeling
  • Federated learning
  • Heterogeneity
  • Master-slave technique
  • Mathematical models
  • Performance evaluation
  • Resource aware clustering
  • Servers
  • Training
  • heterogeneity
  • resource aware clustering
  • leader-follower technique

Disciplines

  • Computer Sciences

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