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...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 4 vom: 09. Apr., Seite 2031-2044
|
|---|
| 1. Verfasser: |
Sun, Jun
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Chen, Tianyi,
Giannakis, Georgios B,
Yang, Qinmin,
Yang, Zaiyue |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2022
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
|
|---|
| Schlagworte: | Journal Article |
|---|