Federated Analytics With Data Augmentation in Domain Generalization Toward Future Networks

Federated Analytics With Data Augmentation in Domain Generalization Toward Future Networks

Federated Domain Generalization (FDG) aims to train a global model that generalizes well to new clients in a privacy-conscious manner, even when domain shifts are encountered. The increasing concerns of knowledge generalization and data privacy also challenge the traditional gather-and-analyze parad...

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Bibliographic Details
Main Authors: Xunzheng Zhang, Juan Marcelo Parra-Ullauri, Shadi Moazzeni, Xenofon Vasilakos, Reza Nejabati, Dimitra Simeonidou
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Transactions on Machine Learning in Communications and Networking
Subjects:
Federated domain generalization
data augmentation
federated analytics
adversarial learning
future networks
Online Access:https://ieeexplore.ieee.org/document/10508396/
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