Latest trends of security and privacy in recommender systems: a comprehensive review and future perspectives

Y Himeur, SS Sohail, F Bensaali, A Amira… - Computers & Security, 2022 - Elsevier
With the widespread use of Internet of things (IoT), mobile phones, connected devices and
artificial intelligence (AI), recommender systems (RSs) have become a booming technology …

Secure federated matrix factorization

D Chai, L Wang, K Chen, Q Yang - IEEE Intelligent Systems, 2020 - ieeexplore.ieee.org
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 …

[PDF][PDF] Federated analytics: A survey

AR Elkordy, YH Ezzeldin, S Han… - … on Signal and …, 2023 - nowpublishers.com
Federated analytics (FA) is a privacy-preserving framework for computing data analytics
over multiple remote parties (eg, mobile devices) or silo-ed institutional entities (eg …

Federated learning attack surface: taxonomy, cyber defences, challenges, and future directions

A Qammar, J Ding, H Ning - Artificial Intelligence Review, 2022 - Springer
Federated learning (FL) has received a great deal of research attention in the context of
privacy protection restrictions. By jointly training deep learning models, a variety of training …