A Bayesian Federated Learning Framework With Online Laplace Approximation
Federated learning (FL) allows multiple clients to collaboratively learn a globally shared model through cycles of model aggregation and local model training, without the need to share data. Most existing FL methods train local models separately on different clients, and then simply average their pa...
Description complète
Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 1 vom: 30. Jan., Seite 1-16
|
|---|
| Auteur principal: |
Liu, Liangxi
(Auteur) |
|---|
| Autres auteurs: |
Jiang, Xi,
Zheng, Feng,
Chen, Hong,
Qi, Guo-Jun,
Huang, Heng,
Shao, Ling |
|---|
| Format: | Article en ligne
|
|---|
| Langue: | English |
|---|
| Publié: |
2024
|
|---|
| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
|
|---|
| Sujets: | Journal Article |
|---|