Abstract
Recently there were research works on multi-task estimation. However, there exists an issue that nodes may suffer from malicious attacks when sending data in the adversarial multi-task network environment. To address this issue, we propose a secure distributed information sharing algorithm based on attack detection. In our work, via determining an adaptive threshold, a distributed detection algorithm based on the correlation between tasks and a safe multi-task diffusion least mean square (SM-DLMS) algorithm are proposed, which not only reduce communication costs but also effectively decrease the impact of attacks. We also theoretically analyze the stability performance of the proposed SM-DLMS algorithm. Meanwhile, the robustness and effectiveness of the proposed algorithm under network-attacks are illustrated through numerical simulations.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IEEE Transactions on Circuits and Systems I: Regular Papers
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
