Abstract: In the current scenario, a vast amount of unlabeled high-dimensional data exhibits intrinsic relationships, making it suitable for information extraction through graph-based clustering ...

Abstract: We consider the problem of inferring graph topology from smooth graph signals in a novel but practical scenario where data are located in multiple clients and prohibited from leaving local ...