Enhancing IoT anomaly detection performance for federated learning

Enhancing IoT anomaly detection performance for federated learning

Federated Learning (FL) with mobile computing and the Internet of Things (IoT) is an effective cooperative learning approach. However, several technical challenges still need to be addressed. For instance, dividing the training process among several devices may impact the performance of Machine Lear...

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Bibliographic Details
Main Authors: Brett Weinger, Jinoh Kim, Alex Sim, Makiya Nakashima, Nour Moustafa, K. John Wu
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2022-06-01
Series:Digital Communications and Networks
Subjects:
Data augmentation
Federated learning
Internet of things
Anomaly detection
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2352864822000190

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http://www.sciencedirect.com/science/article/pii/S2352864822000190

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