Lazily Aggregated Quantized Gradient Innovation for Communication-Efficient Federated Learning
This paper focuses on communication-efficient federated learning problem, and develops a novel distributed quantized gradient approach, which is characterized by adaptive communications of the quantized gradients. Specifically, the federated learning builds upon the server-worker infrastructure, whe...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 4 vom: 09. Apr., Seite 2031-2044
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| Auteur principal: |
Sun, Jun
(Auteur) |
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| Autres auteurs: |
Chen, Tianyi,
Giannakis, Georgios B,
Yang, Qinmin,
Yang, Zaiyue |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2022
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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