FedAAR: A Novel Federated Learning Framework for Animal Activity Recognition with Wearable Sensors

FedAAR: A Novel Federated Learning Framework for Animal Activity Recognition with Wearable Sensors

Deep learning dominates automated animal activity recognition (AAR) tasks due to high performance on large-scale datasets. However, constructing centralised data across diverse farms raises data privacy issues. Federated learning (FL) provides a distributed learning solution to train a shared model...

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Bibliographic Details
Main Authors: Axiu Mao, Endai Huang, Haiming Gan, Kai Liu
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Animals
Subjects:
data privacy
animal behaviour
deep learning
distributed learning
client-drift
local gradient conflicts
Online Access:https://www.mdpi.com/2076-2615/12/16/2142

Internet

https://www.mdpi.com/2076-2615/12/16/2142

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