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Found 4 papers, 0 papers with code
Joint Probability Selection and Power Allocation for Federated Learning
The federated learning performance depends on the selection of the clients participating in the learning at each round.
Ensemble DNN for Age-of-Information Minimization in UAV-assisted Networks
To tackle this problem, we first derive a closed-form expression of the expected AoI that involves the probabilities of selection of devices.
Muti-Agent Proximal Policy Optimization For Data Freshness in UAV-assisted Networks
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
Client Selection in Federated Learning based on Gradients Importance
We investigate and design a device selection strategy based on the importance of the gradient norms.
