Mentor's Musings on Federated Learning Standardization Imperatives in Leveraging It for Industrial IoT

Federated learning is regarded as an effective solution to allow a distributed learning scheme without explicit data sharing and private data leakage, which makes it really very useful for Industrial IoT solutions where internet-connected devices and sensors are spread over diverse geographical and/or industrial settings to collect and exchange data, monitor and control processes, and enable more efficient and effective industrial operations. However, structured system level standardization is crucial to provide a blueprint for data usage and model building across organizations and devices while meeting applicable privacy, security and regulatory requirements. The system standards shall enable defining the contours for structured innovation in this new domain and ensure different FL frameworks and their respective components can inter-work seamlessly to make Federated Learning empowered applications truly efficient and comprehensive.

Authors

Publication Details

Journal
IEEE Internet of Things Magazine
Published
2024-08-23
DOI
https://doi.org/10.1109/miot.2024.10644021
Citations
1
Primary Topic
Technology and Data Analysis
Type
article
Field-Weighted Citation Impact
0.78
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article

Mentor's Musings on Federated Learning Standardization Imperatives in Leveraging It for Industrial IoT

N. Kishor Narang
1 citations
IEEE Internet of Things Magazine
Technology and Data Analysis
0.78
article

Mentor's Musings on Federated Learning Standardization Imperatives in Leveraging It for Industrial IoT

N. Kishor Narang
article en
1 citations

Abstract

Federated learning is regarded as an effective solution to allow a distributed learning scheme without explicit data sharing and private data leakage, which makes it really very useful for Industrial IoT solutions where internet-connected devices and sensors are spread over diverse geographical and/or industrial settings to collect and exchange data, monitor and control processes, and enable more efficient and effective industrial operations. However, structured system level standardization is crucial to provide a blueprint for data usage and model building across organizations and devices while meeting applicable privacy, security and regulatory requirements. The system standards shall enable defining the contours for structured innovation in this new domain and ensure different FL frameworks and their respective components can inter-work seamlessly to make Federated Learning empowered applications truly efficient and comprehensive.

IEEE Internet of Things MagazineVol. 7(5)
Industry, innovation and infrastructure
Openalex Percentile: Top 22%
Technology and Data Analysis
0.78
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Mentor's Musings on Federated Learning Standardization Imperatives in Leveraging It for Industrial IoT — N. Kishor Narang · IEEE Internet of Things Magazine (2024) | TGRS Research Map | TGRS