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Journal of Theoretical and Applied Information Technology 30th September 2024. Vol.101. No 18 2023 Little Lion Scientific ISSN: 19928645www.wait.Orbison: 18173195DETECTION OF ANOMALIES IN BLOCKCHAIN
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John AbstractNoteFederated Learning FL is a platform designed for collaborative machine learning without centralizing data.
Researchers, developers, and organizations looking to leverage the benefits of federated learning are required to file John AbstractNoteFederated Learning FL.
To fill out John AbstractNoteFederated Learning FL, users need to provide information on their datasets, learning models, and training processes.
The purpose of John AbstractNoteFederated Learning FL is to enable multiple parties to collaborate on machine learning tasks without sharing sensitive data.
Information such as dataset descriptions, model architectures, training procedures, and security protocols must be reported on John AbstractNoteFederated Learning FL.
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