4 citations · 9 across the 25 of their papers we have counts for
9 papers · 1 filter
Age-of-Information in UAV-assisted Networks: a Decentralized Multi-Agent Optimization
Mouhamed Naby Ndiaye, El Houcine Bergou, Hajar El Hammouti
Unmanned aerial vehicles (UAVs) are a highly promising technology with diverse applications in wireless networks. One of their primary uses is the collection of time-sensitive data…
Ensemble DNN for Age-of-Information Minimization in UAV-assisted Networks
Mouhamed Naby Ndiaye, El Houcine Bergou, Hajar El Hammouti
This paper addresses the problem of Age-of-Information (AoI) in UAV-assisted networks. Our objective is to minimize the expected AoI across devices by optimizing UAVs' stopping loc…
Muti-Agent Proximal Policy Optimization For Data Freshness in UAV-assisted Networks
Mouhamed Naby Ndiaye, El Houcine Bergou, Hajar El Hammouti
Unmanned aerial vehicles (UAVs) are seen as a promising technology to perform a wide range of tasks in wireless communication networks. In this work, we consider the deployment of…
Minibatch Stochastic Three Points Method for Unconstrained Smooth Minimization
Soumia Boucherouite, Grigory Malinovsky, Peter Richtárik +1
In this paper, we propose a new zero order optimization method called minibatch stochastic three points (MiSTP) method to solve an unconstrained minimization problem in a setting w…
Age-of-Updates Optimization for UAV-assisted Networks
Mouhamed Naby Ndiaye, El Houcine Bergou, Mounir Ghogho +1
Unmanned aerial vehicles (UAVs) have been proposed as a promising technology to collect data from IoT devices and relay it to the network. In this work, we are interested in scenar…
Direct Nonlinear Acceleration
Aritra Dutta, El Houcine Bergou, Yunming Xiao +2
Optimization acceleration techniques such as momentum play a key role in state-of-the-art machine learning algorithms. Recently, generic vector sequence extrapolation techniques, s…
A Stochastic Derivative Free Optimization Method with Momentum
Eduard Gorbunov, Adel Bibi, Ozan Sener +2
We consider the problem of unconstrained minimization of a smooth objective function in in setting where only function evaluations are possible. We propose and analy…
Stochastic Three Points Method for Unconstrained Smooth Minimization
El Houcine Bergou, Eduard Gorbunov, Peter Richtárik
In this paper we consider the unconstrained minimization problem of a smooth function in in a setting where only function evaluations are possible. We design a nov…
A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control
Adel Bibi, El Houcine Bergou, Ozan Sener +2
We consider the problem of unconstrained minimization of a smooth objective function in in a setting where only function evaluations are possible. While importance sampling…