External Links

Cite Key

Statistics

  • References: 0
  • Cited by: 0
  • Reviews: 0
  • Bibliographies: 0

PDF

Researchr

Researchr is a web site for finding, collecting, sharing, and reviewing scientific publications, for researchers by researchers.

Sign up for an account to create a profile with publication list, tag and review your related work, and share bibliographies with your co-authors.

FedGPO: Heterogeneity-Aware Global Parameter optimization for Efficient Federated Learning

Young-geun Kim, Carole-Jean Wu. FedGPO: Heterogeneity-Aware Global Parameter optimization for Efficient Federated Learning. In IEEE International Symposium on Workload Characterization, IISWC 2022, Austin, TX, USA, November 6-8, 2022. pages 117-129, IEEE, 2022. [doi]

Abstract

Abstract is missing.

runs on