156 citations · 514 across the 50 of their papers we have counts for
6 papers · 1 filter
Opinion Dynamics-based Coalition Formation for Federated Learning in Heterogeneous IoT Systems
Mohammed El Hanjri, Anas Abouaomar, Hamidou Tembine +1
Federated learning (FL) enables privacy-preserving, on-device training across heterogeneous Internet-of-Things (IoT) deployments such as smart-city water-metering networks, where e…
The Risk Shadow of Principal Component Analysis: When 99.9999% Variance Preservation Causes Catastrophic Decision Errors
Hamidou Tembine
Principal Component Analysis (PCA) preserves variance, not the information needed to detect rare catastrophic events. This paper proves the existence of a {\it Risk Shadow}: PCA ca…
An Explicit Surrogate for Gaussian Mixture Flow Matching with Wasserstein Gap Bounds
Elham Rostami, Taous-Meriem Laleg-Kirati, Hamidou Tembine
We study training-free flow matching between two Gaussian mixture models (GMMs) using explicit velocity fields that transport one mixture into the other over time. Our baseline app…
Nonparallel Emotional Speech Conversion
Jian Gao, Deep Chakraborty, Hamidou Tembine +1
We propose a nonparallel data-driven emotional speech conversion method. It enables the transfer of emotion-related characteristics of a speech signal while preserving the speaker'…
Mean-Field Learning: a Survey
Hamidou Tembine, Raul Tempone, Pedro Vilanova
In this paper we study iterative procedures for stationary equilibria in games with large number of players. Most of learning algorithms for games with continuous action spaces are…
Heterogeneous Learning in Zero-Sum Stochastic Games with Incomplete Information
Quanyan Zhu, Hamidou Tembine, Tamer Basar
Learning algorithms are essential for the applications of game theory in a networking environment. In dynamic and decentralized settings where the traffic, topology and channel sta…