Eluding Secure Aggregation in Federated Learning via Model Inconsistency

Dario Pasquini, Danilo Francati, Giuseppe Ateniese

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

Original languageEnglish
Title of host publicationCCS 2022 - Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
PublisherAssociation for Computing Machinery (ACM)
Pages2429-2443
Number of pages15
ISBN (Electronic)9781450394505
DOIs
Publication statusPublished - 7 Nov 2022
Event28th ACM SIGSAC Conference on Computer and Communications Security, CCS 2022 - Los Angeles, United States
Duration: 7 Nov 202211 Nov 2022

Publication series

NameProceedings of the ACM Conference on Computer and Communications Security
ISSN (Print)1543-7221

Conference

Conference28th ACM SIGSAC Conference on Computer and Communications Security, CCS 2022
Country/TerritoryUnited States
CityLos Angeles
Period7/11/2211/11/22

Keywords

  • federated learning
  • model inconsistency
  • secure aggregation

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