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IEEE Intelligent Systems
Scopus
ISSN 1541-1672 · Institute of Electrical and Electronics Engineers · 2 articles in the index
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Journal Article Full text
Secure Federated Matrix Factorization
To protect user privacy and meet law regulations, federated (machine) learning is obtaining vast interests in recent years. The key principle of federated learning is training a machine learning model without needing to know each user’s personal raw private data. In this article, we propose a…
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Journal Article Full text
A Secure Federated Transfer Learning Framework
Machine learning relies on the availability of vast amounts of data for training. However, in reality, data are mostly scattered across different organizations and cannot be easily integrated due to many legal and practical constraints. To address this important challenge in the field of machine…