Federated Active Learning (F-AL): An Efficient Annotation Strategy for Federated Learning

Federated Active Learning (F-AL): An Efficient Annotation Strategy for Federated Learning

Federated learning (FL) has been intensively investigated in terms of communication efficiency, privacy, and fairness. However, efficient annotation, which is a pain point in real-world FL applications, is less studied. In this project, we propose to apply active learning (AL) to the FL framework to...

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Bibliographic Details
Main Authors: Jin-Hyun Ahn, Yeeun Ma, Seoyun Park, Cheolwoo You
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Active learning
annotation
distributed learning
federated learning
Online Access:https://ieeexplore.ieee.org/document/10471526/

Internet

https://ieeexplore.ieee.org/document/10471526/

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