Federated learning in cloud-edge collaborative architecture: key technologies, applications and challenges
G Bao, P Guo - Journal of Cloud Computing, 2022 - Springer
In recent years, with the rapid growth of edge data, the novel cloud-edge collaborative
architecture has been proposed to compensate for the lack of data processing power of …
architecture has been proposed to compensate for the lack of data processing power of …
Differential privacy for IoT-enabled critical infrastructure: A comprehensive survey
The rapid evolution of the Internet of Things (IoT) paradigm during the last decade has lead
to its adoption in critical infrastructure. However, the multitude of benefits that are derived …
to its adoption in critical infrastructure. However, the multitude of benefits that are derived …
The limits of word level differential privacy
J Mattern, B Weggenmann, F Kerschbaum - ar** and noise-adding for energy trading based on consortium blockchain
The maturity in information technology and new energy technologies enables participants to
generate, buy, and sell energy in energy trading systems. Although applying blockchain …
generate, buy, and sell energy in energy trading systems. Although applying blockchain …
Personalized location privacy with road network-indistinguishability
The proliferation of location-based services (LBS) leads to increasing concern about
location privacy. Location obfuscation is a promising privacy-preserving technique but yet to …
location privacy. Location obfuscation is a promising privacy-preserving technique but yet to …
Holistic survey of privacy and fairness in machine learning
Privacy and fairness are two crucial pillars of responsible Artificial Intelligence (AI) and
trustworthy Machine Learning (ML). Each objective has been independently studied in the …
trustworthy Machine Learning (ML). Each objective has been independently studied in the …