Greenfield School continues to raise the bar of academic excellence. Located at 2200 Chestnut St., the K-8 school provides ...

Machine Learning is fast changing mobile app development, particularly in the Android ecosystem, which powers more than 70% of smartphones worldwide as of 2024. With its capability to learn from data, ...

The tutorial concludes by examining emerging research directions, including adaptive privacy budgets and federated learning approaches, establishing a foundation for privacy-preserving smart home ...

APPFL, Advanced Privacy-Preserving Federated Learning, is an open-source and highly extensible software framework that allows research communities to implement, test ...

LLMs face challenges in continual learning due to the limitations of parametric knowledge retention, leading to the widespread adoption of RAG as a solution. RAG enables models to access new ...

Abstract: Federated Learning (FL) allows collaborative training of a Machine Learning (ML) model while preserving data privacy across participating clients. Most existing studies consider FL clients ...

Learning useful features from large amounts of unlabeled images is important, and models like DINO and DINOv2 are designed for this. These models work well for tasks like image classification and ...