An advanced data fabric architecture leveraging homomorphic encryption and federated learning

An advanced data fabric architecture leveraging homomorphic encryption and federated learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Rieyan, Sakib Anwar, News, Md. Raisul Kabir, Rahman, A.B.M. Muntasir, Khan, Sadia Afrin, Zaarif, Sultan Tasneem Jawad
Άλλοι συγγραφείς:	Alam, Md. Golam Rabiul
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	Brac University 2023
Θέματα:	Data fabric Federated learning Partially homomorphic encryption Big data Data integration (Computer science) Database management
Διαθέσιμο Online:	http://hdl.handle.net/10361/20203

Παρόμοια τεκμήρια

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Έκδοση: (2021)

Blockchain based e-voting system with homomorphic encryption and threshold signature
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Big Data implementation in the tourism industry with the integration of Singular Value Decomposition (SVD)
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Heart failure risk prediction and medicine recommendation system using exploratory analysis and big data analytics
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Έκδοση: (2019)

Homomorphic encryption on deep learning in accurate prediction of brain tumour
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Έκδοση: (2023)

Analysis on the performance comparison between a relational database and a non-relational database for big data application
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BigPsy: a big data framework to support psycho-informatics
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An autoencoder-based decentralized clustering leveraging model aggregation fusion strategy
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Integration of data clustering to intelligent email classifier
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Machine learning with PySpark : With natural language processing and recommender systems /
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