We investigate whether in a distributed setting, adaptive estimation of smooth function at the optimal rate is possible under minimal communication. It turns out that answer depends on risk considered and number servers over which procedure distributed. show for $L\_\infty$-risk, adaptively obtaining rates communication not possible. For $L\_2$-risk, it range regularities relation between local...

Abstract The lightweight of human pose estimation model is one current research hotspot in the field computer vision. emphasis to promise while improving network performance. In view computing and processing performance monocular static image method deployed mobile devices, a distributed was proposed. framework constructed by simplifying BlazePose as core, 5×5 convolution kernels were run for f...

This paper presents distributed conjugate gradient algorithms for distributed parameter estimation and spectrum estimation over wireless sensor networks. In particular, distributed conventional conjugate gradient (CCG) and modified conjugate gradient (MCG) are considered, together with incremental and diffusion adaptive solutions. The distributed CCG and MCG algorithms have an improved performa...