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Found 5 papers, 1 papers with code
Utility of Traffic Information in Dynamic Routing: Is Sharing Information Always Useful?
Real-time traffic information can be utilized to enhance the efficiency of transportation networks by dynamically updating routing plans to mitigate traffic jams.
Multiagent Systems
Clustered Scheduling and Communication Pipelining For Efficient Resource Management Of Wireless Federated Learning
In this way, instead of just waiting for the slower clients to finish their computation, more clients can participate in each iteration.
Multi-Task and Transfer Learning for Federated Learning Applications
So, supporting federated learning with meta-learning tools such as multi-task learning and transfer learning will help enlarge the set of potential applications of federated learning by letting clients of different but related tasks share task-agnostic models that can be then further updated and tailored by each individual client for its particular task.
Unsupervised Anomaly Appraisal of Cleft Faces Using a StyleGAN2-based Model Adaptation Technique
This paper presents a novel machine learning framework to consistently detect, localize and rate congenital cleft lip anomalies in human faces.
CleftGAN: Adapting A Style-Based Generative Adversarial Network To Create Images Depicting Cleft Lip Deformity
We undertook a transfer learning protocol testing different versions of StyleGAN-ADA (a generative adversarial network image generator incorporating adaptive data augmentation (ADA)) as the base model.
