Guest editorial: Privacy-preserving federated machine learning solutions for enhanced security of critical energy infrastructures

Imran RAZZAK; Guandong XU; Muhammad Khurram KHAN

doi:10.1109/TII.2021.3128962

Guest editorial: Privacy-preserving federated machine learning solutions for enhanced security of critical energy infrastructures

Imran RAZZAK, Guandong XU, Muhammad Khurram KHAN

Offices of the President (P)

Research output: Contribution to journal › Articles › peer-review

2 Citations (Scopus)

Original language	English
Pages (from-to)	3449-3451
Journal	IEEE Transactions on Industrial Informatics
Volume	18
Issue number	5
DOIs	https://doi.org/10.1109/TII.2021.3128962
Publication status	Published - May 2022

Citation

Razzak, I., Xu, G., & Khan, M. K. (2022). Guest editorial: Privacy-preserving federated machine learning solutions for enhanced security of critical energy infrastructures. IEEE Transactions on Industrial Informatics, 18(5), 3449-3451. https://doi.org/10.1109/TII.2021.3128962

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10.1109/TII.2021.3128962

Guest editorial: Privacy-preserving federated machine learning solutions for enhanced security of critical energy infrastructures

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