Machine Learning with Reconfigurable Privacy on Resource-Limited Edge Computing Devices

Machine Learning with Reconfigurable Privacy on Resource-Limited Edge Computing Devices

Distributed computing allows effective data storage, processing and retrieval but it poses security and privacy issues. Sensors are the cornerstone of the IoT-based pipelines, since they constantly capture data until it can be analyzed at the central cloud resources. However, these sensor nodes are...

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Bibliographic Details
Main Author: Tania, Zannatun Nayem
Format: Others
Language:English
Published: KTH, Skolan för elektroteknik och datavetenskap (EECS) 2021
Subjects:
Data Privacy
Resource Management
Machine Learning
Fitbit
Internet of Things (IoT)
Optimization
Dataintegritet
Resurshantering
Optimering
Computer and Information Sciences
Data- och informationsvetenskap
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-292105

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-292105

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