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A federated calibration scheme for convolutional neural networks: Models, applications and challenges.

, , , , , and . Comput. Commun., (2022)

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Machine Learning for Detecting Security Attacks on Blockchain using Software Defined Networking., , , and . ICC Workshops, page 260-264. IEEE, (2022)Recognition of Alphanumeric Patterns Using Backpropagation Algorithm for Design and Implementation With ANN., , , and . Int. J. Secur. Priv. Pervasive Comput., 14 (1): 1-11 (2022)Federated Learning Based Secured Computational Offloading in Cyber-Physical IoST Systems., , , and . RTIP2R, volume 1704 of Communications in Computer and Information Science, page 344-355. Springer, (2022)ETMA: Efficient Transformer Based Multilevel Attention framework for Multimodal Fake News Detection., , , and . CoRR, (2022)An Optimized Approach for Intrusion Detection in Internet of Softwarized Things., , , , and . ICC Workshops, page 648-653. IEEE, (2023)Holochain: An Agent-Centric Distributed Hash Table Security in Smart IoT Applications., , , , , , , , , and . IEEE Access, (2023)A federated calibration scheme for convolutional neural networks: Models, applications and challenges., , , , , and . Comput. Commun., (2022)A Systematic Analysis of Enhancing Cyber Security Using Deep Learning for Cyber Physical Systems., , , , , , , , and . IEEE Access, (2024)Character Recognition using Approaches of Artificial Neural Network: A Review., , , and . ITTAP, volume 3309 of CEUR Workshop Proceedings, page 186-193. CEUR-WS.org, (2022)A systematic analysis of deep learning methods and potential attacks in internet-of-things surfaces., , , , , , and . Neural Comput. Appl., 35 (25): 18293-18308 (September 2023)