Federated optimization under intermittent client availability
Yikai Yan, Chaoyue Niu, Yucheng Ding, Zhenzhe Zheng, Shaojie Tang, Qinya Li, Fan Wu, Chengfei Lyu, Yanghe Feng, Guihai Chen
| Year of publication: |
2024
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|---|---|
| Authors: | Yan, Yikai ; Niu, Chaoyue ; Ding, Yucheng ; Zheng, Zhenzhe ; Tang, Shaojie ; Li, Qinya ; Wu, Fan ; Lyu, Chengfei ; Feng, Yanghe ; Chen, Guihai |
| Published in: |
INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences. - Linthicum, Md. : INFORMS, ISSN 1526-5528, ZDB-ID 2004082-9. - Vol. 36.2024, 1, p. 185-202
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| Subject: | client availability | federated learning | nonconvex optimization | Theorie | Theory | Mathematische Optimierung | Mathematical programming | Föderalismus | Federalism |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/ijoc.2022.0057 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014474911