Hourglass: Enabling Efficient Split Federated Learning with Data Parallelism

He, Qiang; Wang, Kaibin; Dong, Zeqian; Yuan, Liang; Chen, Feifei; Jin, Hai; Yang, Yun

Hourglass: Enabling Efficient Split Federated Learning with Data Parallelism

conference contribution

posted on 2025-04-10, 05:28 authored by Qiang He, Kaibin Wang, Zeqian Dong, Liang Yuan, Feifei ChenFeifei Chen, Hai Jin, Yun Yang

Hourglass: Enabling Efficient Split Federated Learning with Data Parallelism

History

Pagination

1317-1333

Location

Rotterdam Netherlands

Open access

Yes

Start date

2025-03-30

End date

2025-04-03

ISSN

0004-5411

eISSN

1557-735X

Language

eng

Title of proceedings

EuroSys 2025: Proceedings of the Twentieth European Conference on Computer Systems

Event

Association for Computing Machinery. Conference (2025 : Rotterdam Netherlands)

Publisher

ACM

Place of publication

New York, N.Y.

Publication URL

https://doi.org/10.1145/3689031.3717467

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Keywords

Machine Learning and Artificial Intelligence Networking and Information Technology R&D (NITRD)

Licence

CC BY 4.0

Hourglass: Enabling Efficient Split Federated Learning with Data Parallelism

History

Pagination

Location

Open access

Start date

End date

ISSN

eISSN

Language

Title of proceedings

Event

Publisher

Place of publication

Publication URL

Usage metrics

Categories

Keywords

Licence

Exports