[HTML][HTML] A review of scalable and privacy-preserving multi-agent frameworks for distributed energy resources
Distributed energy resources (DERs) are gaining prominence due to their advantages in
improving energy efficiency, reducing carbon emissions, and enhancing grid resilience …
improving energy efficiency, reducing carbon emissions, and enhancing grid resilience …
Reliability-assured service function chain migration strategy in edge networks using deep reinforcement learning
With the widespread adoption of edge computing and the rollout of 5G technology, the edge
network is experiencing rapid growth. Edge computing enables the execution of certain …
network is experiencing rapid growth. Edge computing enables the execution of certain …
Privacy-preserving model predictive control using secure multi-party computation
In this paper, a secure multi-party computation strategy based on secret sharing is used to
derive a privacy-preserving model predictive control for a class of cyber-physical systems. In …
derive a privacy-preserving model predictive control for a class of cyber-physical systems. In …
Private outsourced model predictive control via secure multi-party computation
Protecting data privacy is essential in develo** practical cloud-based control systems to
benefit from remote and distributed computation while avoiding the risks of disclosing …
benefit from remote and distributed computation while avoiding the risks of disclosing …
Impact of Digital Literacy and Online Privacy Concerns on Cybersecurity Behaviour: The Moderating Role of Cybersecurity Awareness
M Elrayah, S Jamil - International Journal of Cyber …, 2023 - cybercrimejournal.com
Purpose: This study investigates the impact of digital literacy, citizenship, curation practices,
connectedness, and online privacy concerns on cybersecurity behaviour. It specifically …
connectedness, and online privacy concerns on cybersecurity behaviour. It specifically …
Cryptography-Based Privacy-Preserving Method for Distributed Optimization over Time-Varying Directed Graphs with Enhanced Efficiency
B Liu, F **e, L Chai - arxiv preprint arxiv:2405.08518, 2024 - arxiv.org
In this paper, we study the privacy-preserving distributed optimization problem, aiming to
prevent attackers from stealing the private information of agents. For this purpose, we …
prevent attackers from stealing the private information of agents. For this purpose, we …