Note: The repository currently hosts the existing materials from ICDCS 2024 as reference, but its content is being updated for the 2025 edition. This tutorial will be held at the 45th IEEE ...

The community is encouraged to both read and contribute to the codebase. Flower's goal is to make federated learning accessible to everyone. This series of tutorials introduces the fundamentals of ...

In this tutorial, we lean hard on Together AI’s growing ecosystem to show how quickly we can turn unstructured text into a question-answering service that cites its sources. We’ll scrape a handful of ...

Healthcare is one of the most data-sensitive industries. As IoT-enabled devices and cloud-based platforms proliferate in ...

20+ Machine Learning Methods in Groundbreaking Periodic Table From MIT, Google, Microsoft Your email has been sent A new “periodic table for machine learning,” is reshaping how researchers ...

Alibaba’s analysis found that training with about 64,000 Google search queries would cost roughly $586.70 via SerpAPI. In ...

Abstract: Federated learning allows users to collaboratively train models, but studies have shown that local model parameters may leak users’ privacy. Furthermore, the global model in federated ...

Abstract: Quantum federated learning (QFL) is an emerging interdisciplinary field that merges the principles of quantum computing (QC) and federated learning (FL), with the goal of leveraging quantum ...