Given a probability measure $\mu $ over notation="LaTeX">$\mathbb {R}^{n}$ , it is often useful to approximate by the convex combination of small number measures, such that each component close product measure. Recently, Ronen Eldan u...

This article proposes a novel information-theoretic joint probabilistic data association filter for tracking unknown number of targets. The proposed algorithm is obtained by the minimization weighted reverse Kullback–Leibler divergence to approximate posterior Gaussian mixture probability density function. Theoretical analysis mean performance and error covariance with ideal detection presented...

In the robust secure aggregation problem, a server wishes to learn and only sum of inputs number users while some may drop out (i.e., not respond). The identity dropped is known priori needs securely recover remaining surviving users. We consider following minimal two-round model aggregation. Over first round, any set no fewer than <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" ...