Trustworthy federated learning: privacy, security, and beyond
Sign Up to like & getrecommendations! Published in 2024 at "Knowledge and Information Systems"
DOI: 10.1007/s10115-024-02285-2
Abstract: While recent years have witnessed the advancement in big data and artificial intelligence, it is of much importance to safeguard data privacy and security. As an innovative approach, federated learning (FL) addresses these concerns by… read more here.
Keywords: privacy security; learning privacy; privacy; federated learning ... See more keywords
RL-PDNN: Reinforcement Learning for Privacy-Aware Distributed Neural Networks in IoT Systems
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3070627
Abstract: Due to their high computational and memory demand, deep learning applications are mainly restricted to high-performance units, e.g., cloud and edge servers. Particularly, in Internet of Things (IoT) systems, the data acquired by pervasive devices… read more here.
Keywords: iot systems; reinforcement learning; real time; learning privacy ... See more keywords
Federated learning for privacy-preserving AI
Sign Up to like & getrecommendations! Published in 2020 at "Communications of the ACM"
DOI: 10.1145/3387107
Abstract: Engineering and algorithmic framework to ensure data privacy and user confidentiality. read more here.
Keywords: privacy; learning privacy; privacy preserving; federated learning ... See more keywords