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Found 6 papers, 1 papers with code
Tailoring Generative Adversarial Networks for Smooth Airfoil Design
In the realm of aerospace design, achieving smooth curves is paramount, particularly when crafting objects such as airfoils.
Don't Forget What I did?: Assessing Client Contributions in Federated Learning
Additionally, to assess client contribution under limited computational budget, we propose a scheduling procedure that considers a two-sided fairness criteria to perform expensive Shapley value computation only in a subset of training epochs.
Learning to Model Diverse Driving Behaviors in Highly Interactive Autonomous Driving Scenarios with Multi-Agent Reinforcement Learning
Autonomous vehicles trained through Multi-Agent Reinforcement Learning (MARL) have shown impressive results in many driving scenarios.
Hybrid Augmented Automated Graph Contrastive Learning
Graph augmentations are essential for graph contrastive learning.
FedUKD: Federated UNet Model with Knowledge Distillation for Land Use Classification from Satellite and Street Views
The need for a Federated approach in this application domain would be to avoid transfer of data from distributed locations and save network bandwidth to reduce communication cost.
Learning Optimal Social Dependency for Recommendation
Social recommender systems exploit users' social relationships to improve the recommendation accuracy.
