A
Ali H. Sayed
Researcher at École Polytechnique Fédérale de Lausanne
Publications - 766
Citations - 39568
Ali H. Sayed is an academic researcher from École Polytechnique Fédérale de Lausanne. The author has contributed to research in topics: Adaptive filter & Optimization problem. The author has an hindex of 81, co-authored 728 publications receiving 36030 citations. Previous affiliations of Ali H. Sayed include Harbin Engineering University & University of California, Los Angeles.
Papers
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Learning Graph Influence from Social Interactions
TL;DR: In this article, the authors consider the dual or reverse learning problem of social learning and examine whether it is possible to learn the strength of the connections (influences) from sending components in the network to these receiving agents.
Proceedings ArticleDOI
A stochastic power control algorithm for wireless networks
TL;DR: Simulation results show the effectiveness of the proposed power control algorithm, which is based on a quadratic state-space control design for distributed wireless networks.
Journal Article
BOOK REVIEW-//Linear Estimation
Proceedings ArticleDOI
Polynomial Escape-Time from Saddle Points in Distributed Non-Convex Optimization
Stefan Vlaski,Ali H. Sayed +1 more
TL;DR: This work establishes that agents cluster around a network centroid in the mean-fourth sense and proceeded to study the dynamics of this point, and establishes that the diffusion strategy is able to escape from strict saddle-points in O(1/\mu)$ iterations.
Posted Content
Network Classifiers With Output Smoothing.
TL;DR: This work introduces two strategies for training network classifiers with heterogeneous agents and proposes smoothing the outputs of the classifiers, which are the predicted labels, to make the evolution of the network classifier more challenging than usual.