NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized Federated Learning with Heterogeneous Data," in Proc. ACM MobiHoc, Seoul, South Korea, Oct. 2022 (acceptance rate: 19.8%).

Zhang, X.; Fang, M.; Liu, Z.; Yang, H.; Liu, J.; Zhu, Z.

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Citation Details

NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized Federated Learning with Heterogeneous Data," in Proc. ACM MobiHoc, Seoul, South Korea, Oct. 2022 (acceptance rate: 19.8%).

Award ID(s):: 2110259

PAR ID:: 10435385

Author(s) / Creator(s):: Zhang, X.; Fang, M.; Liu, Z.; Yang, H.; Liu, J.; Zhu, Z.

Date Published:: 2022-10-01

Journal Name:: Proc. ACM MobiHoc

Format(s):: Medium: X

Sponsoring Org:: National Science Foundation

Free Publicly Accessible Full Text
Accepted Manuscript1.0
Conference Paper:
The DOI is not currently available.

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