Towards taming the resource and data heterogeneity in federated learning

Zheng Chai, Hannan Fayyaz, Zeshan Fayyaz, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Heiko Ludwig, Yue Cheng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

51 Scopus citations
Original languageEnglish (US)
Title of host publicationProceedings of the 2019 USENIX Conference on Operational Machine Learning, OpML 2019
PublisherUSENIX Association
Pages19-21
Number of pages3
ISBN (Electronic)9781939133007
StatePublished - 2019
Externally publishedYes
Event2019 USENIX Conference on Operational Machine Learning, OpML 2019 - Santa Clara, United States
Duration: May 20 2019 → …

Publication series

NameProceedings of the 2019 USENIX Conference on Operational Machine Learning, OpML 2019

Conference

Conference2019 USENIX Conference on Operational Machine Learning, OpML 2019
Country/TerritoryUnited States
CitySanta Clara
Period5/20/19 → …

Bibliographical note

Funding Information:
We thank the reviewers for their feedback. This work is sponsored in part by George Mason University, an AWS Cloud Research Grant, and a Google Cloud Platform Research Grant.

Funding Information:
Acknowledgments We thank the reviewers for their feedback. This work is sponsored in part by George Mason University, an AWS Cloud Research Grant, and a Google Cloud Platform Research Grant.

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