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Found 4 papers, 1 papers with code
Empowering Federated Learning for Massive Models with NVIDIA FLARE
In the ever-evolving landscape of artificial intelligence (AI) and large language models (LLMs), handling and leveraging data effectively has become a critical challenge.
NVIDIA FLARE: Federated Learning from Simulation to Real-World
Federated learning (FL) enables building robust and generalizable AI models by leveraging diverse datasets from multiple collaborators without centralizing the data.
Delineating Knowledge Domains in the Scientific Literature Using Visual Information
In this paper, we demonstrate the utility of using scientific figures as markers of knowledge domains in science, which can be used for classification, recommender systems, and studies of scientific information exchange.
Towards improved lossy image compression: Human image reconstruction with public-domain images
The images, results and additional data are available at https://compression. stanford. edu/human-compression
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