no code implementations • 15 Jan 2024 • Ouiame Marnissi, Hajar El Hammouti, El Houcine Bergou
The federated learning performance depends on the selection of the clients participating in the learning at each round.
no code implementations • 6 Sep 2023 • Mouhamed Naby Ndiaye, El Houcine Bergou, Hajar El Hammouti
To tackle this problem, we first derive a closed-form expression of the expected AoI that involves the probabilities of selection of devices.
no code implementations • 15 Mar 2023 • Mouhamed Naby Ndiaye, El Houcine Bergou, Hajar El Hammouti
Our objective is to optimally design the UAVs' trajectories and the subsets of visited IoT devices such as the global Age-of-Updates (AoU) is minimized.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 19 Nov 2021 • Ouiame Marnissi, Hajar El Hammouti, El Houcine Bergou
We investigate and design a device selection strategy based on the importance of the gradient norms.