FedTCR: communication-efficient federated learning via taming computing resources
Crossref DOI link: https://doi.org/10.1007/s40747-023-01006-6
Published Online: 2023-03-13
Published Print: 2023-10
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Li, Kaiju
Wang, Hao
Zhang, Qinghua
Text and Data Mining valid from 2023-03-13
Version of Record valid from 2023-03-13
Article History
Received: 31 March 2022
Accepted: 7 February 2023
First Online: 13 March 2023
Declarations
:
: The authors declare that they have no conflict of interest.