GitHub

Python LSP Server

This will expose the command pylsp on your PATH. Confirm that installation succeeded by running pylsp --help. If the respective dependencies are found, the following ...
IEEE

Adaptive Model Aggregation in Federated Learning Based on Model Accuracy

Abstract: Federated learning is useful when predicting user preferences due to its ability to keep user data private. As such, certain data samples may be more useful than others. For instance, with a ...
GitHub

Optimal Transport Aggregation for Visual Place Recognition

We introduce DINOv2 SALAD, a Visual Place Recognition model that achieves state-of-the-art results on common benchmarks. We introduce two main contributions: Using a finetuned DINOv2 encoder to get ...
IEEE

Accelerating Federated Learning With Cluster Construction and Hierarchical Aggregation

Abstract: Federated learning (FL) has emerged in edge computing to address the limited bandwidth and privacy concerns of traditional cloud-based training. However, the existing FL mechanisms may lead ...