156 citations · 514 across the 50 of their papers we have counts for
57 papers
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…
Risk-Aware Information Theory
Hamidou Tembine
We develop a risk-aware information theory by replacing expectation with expectiles, introducing expectile entropy, divergence, and mutual information. These quantities exhibit beh…
Mitigating Polycentric Conflict-Trap Risk in Mali via Intergenerational Volterra Mean-Field-Type Games
Hamidou Tembine
Persistent instability in Mali and neighboring countries is not a temporary security crisis but a self-reproducing conflict system sustained by intergenerational grievances, climat…
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…
Causal Mirage Equilibrium in Agentic Machine Intelligence
Hamidou Tembine
Classical game-theoretic solution concepts assume that agents' internal representations remain causally linked to external states. In generative machine intelligence, this assumpti…
Achieving Generational Peace in Mali through Intergenerational Mean-Field-Type Game-based Incentives
Hamidou Tembine
This article develops an intergenerational mean-field-type game (MFTG) to model Mali's and neighbouring countries multi-actor conflict ecosystem, which includes formal state forces…
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…
Incentive Mechanism Design for Privacy-Preserving Decentralized Blockchain Relayers
Boutaina Jebari, Khalil Ibrahimi, Hamidou Tembine +1
Public blockchains, though renowned for their transparency and immutability, suffer from significant privacy concerns. Network-level analysis and long-term observation of publicly…
Machine Mirages: Defining the Undefined
Hamidou Tembine
As multimodal machine intelligence systems started achieving average animal-level and average human-level fluency in many measurable tasks in processing images, language, and sound…
Breaking the Barriers of Text-Hungry and Audio-Deficient AI
Hamidou Tembine, Issa Bamia, Massa NDong +31
While global linguistic diversity spans more than 7164 recognized languages, the current dominant architecture of machine intelligence remains fundamentally biased toward written t…
Mean-Field-Type Game Theory with Rosenblatt Noise
Hamidou Tembine, Tyrone E. Duncan, Bozenna Pasik-Duncan
We study the integration of Rosenblatt noise into stochastic systems, control theory, and mean-field-type game theory, addressing the limitations of traditional Gaussian and Markov…
Semi-Explicit Solution of Some Discrete-Time Higher-Order-Cost Mean-Field-Type Control
Julian Barreiro-Gomez, Tyrone E. Duncan, Bozenna Pasik-Duncan +1
Traditional solvable optimal control theory predominantly focuses on quadratic costs due to their analytical tractability, yet they often fail to capture critical non-linearities i…
Semi-Explicit Solution of Some Discrete-Time Mean-Field-Type Games with Higher-Order Costs
Julian Barreiro-Gomez, Tyrone E. Duncan, Bozenna Pasik-Duncan +1
Traditional solvable game theory and mean-field-type game theory (risk-aware games) predominantly focus on quadratic costs due to their analytical tractability. Nevertheless, they…
Path Planning and Task Assignment for Data Retrieval from Wireless Sensor Nodes Relying on Game-Theoretic Learning
Sotiris Papatheodorou, Michalis Smyrnakis, Tembine Hamidou +1
The energy-efficient trip allocation of mobile robots employing differential drives for data retrieval from stationary sensor locations is the scope of this article. Given a team o…
Machine Intelligence in Africa: a survey
Allahsera Auguste Tapo, Ali Traore, Sidy Danioko +1
In the last 5 years, the availability of large audio datasets in African countries has opened unlimited opportunities to build machine intelligence (MI) technologies that are close…
The outcomes of generative AI are exactly the Nash equilibria of a non-potential game
Boualem Djehiche, Hamidou Tembine
In this article we show that the asymptotic outcomes of both shallow and deep neural networks such as those used in BloombergGPT to generate economic time series are exactly the Na…
Stochastic Programming with Primal-Dual Dynamics: A Mean-Field Game Approach
Casper T. Röling, Dario Bauso, Hamidou Tembine
This study addresses primal-dual dynamics for a stochastic programming problem for capacity network design. It is proven that consensus can be achieved on the \textit{here and now}…
Controlling Propagation of epidemics via mean-field control
Wonjun Lee, Siting Liu, Hamidou Tembine +2
The coronavirus disease 2019 (COVID-19) pandemic is changing and impacting lives on a global scale. In this paper, we introduce a mean-field game model in controlling the propagati…
Matrix-Valued Mean-Field-Type Games: Risk-Sensitive, Adversarial, and Risk-Neutral Linear-Quadratic Case
Julian Barreiro-Gomez, Tyrone E. Duncan, Hamidou Tembine
In this paper we study a class of matrix-valued linear-quadratic mean-field-type games for both the risk-neutral, risk-sensitive and robust cases. Non-cooperation, full cooperation…
Semi-Explicit Solutions to some Non-Linear Non-Quadratic Mean-Field-Type Games: A Direct Method
Julian Barreiro-Gomez, Tyrone E. Duncan, Bozenna Pasik-Duncan +1
This article examines mean-field-type game problems by means of a direct method. We provide various solvable examples beyond the classical linear-quadratic game problems. These inc…
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'…
A Stochastic Maximum Principle for Markov chains of mean-field type
Salah Eddine Choutri, Hamidou Tembine
We derive sufficient and necessary optimality conditions in terms of a stochastic maximum principle (SMP) for controls associated with cost functionals of mean-field type, under dy…
Consensus over evolutionary graphs
Michalis Smyrnakis, Nikolaos M. Freris, Hamidou Tembine
We establish average consensus on graphs with dynamic topologies prescribed by evolutionary games among strategic agents. Each agent possesses a private reward function and dynamic…
Quantile-based Mean-Field Games with Common Noise
Hamidou Tembine
In this paper we explore the impact of quantiles on optimal strategies under state dynamics driven by both individual noise, common noise and Poisson jumps. We first establish an o…