Differential Privacy for Diffusion LMS Algorithm Over a Distributed Network
This article presents a way to improve the Diffusion LMS algorithm in practical scenarios
while maintaining data privacy. It focuses on reducing external errors and ensuring accurate …
while maintaining data privacy. It focuses on reducing external errors and ensuring accurate …
Privacy-preserving distributed estimation over multitask networks
X Shen, Y Liu - IEEE Transactions on Aerospace and Electronic …, 2021 - ieeexplore.ieee.org
Distributed estimation over multitask networks, where the target parameter vectors (tasks) for
different nodes can be different, has received much attention recently. In this article, we …
different nodes can be different, has received much attention recently. In this article, we …
Privacy-preserving distributed projection LMS for linear multitask networks
Wedevelop a privacy-preserving distributed projection least mean squares (LMS) strategy
over linear multitask networks, where agents' local parameters of interest or tasks are …
over linear multitask networks, where agents' local parameters of interest or tasks are …
A Distributed Diffusion Kalman Filter In Multitask Networks
The Distributed Diffusion Kalman Filter (DDKF) algorithm in all its magnitude has earned
great attention lately and has shown an elaborate way to address the issue of distributed …
great attention lately and has shown an elaborate way to address the issue of distributed …
Resilient Multitask Distributed Adaptation Over Networks With Noisy Exchanges
We develop a resilient distributed strategy over multitask networks, where individual tasks
are linearly related within each neighborhood, and information exchanges between …
are linearly related within each neighborhood, and information exchanges between …