In the world of technology, visual-language models (VLMs) are getting really good at understanding both pictures and words. But when these models are used in a federated setting, where different users contribute data, two big problems come up. First, the data from each user is not the same, which ca
In the world of medical imaging, detecting standard planes in fetal ultrasounds is crucial. This process can be tricky due to the varying quality of data from different sources. The challenge is even greater when dealing with noisy labels and differing amounts of data from various clients. The goal
The world of data is always changing. One exciting development is the mix of knowledge graphs and federated learning. This mix helps keep data safe while making it useful. Knowledge graphs help turn web data into a form that's easier for humans to understand. They need lots of data to work well.
Fake news has become a major issue, causing harm to both individuals and society as a whole. With so much information circulating online, it is impossible to manually verify every piece of news. This is especially true because fake news can be cleverly disguised, making it hard to spot. Advanced lan
You know those massive language models everyone’s talking about? They’re getting bigger, and so is the demand for high-quality data. Researchers are combining these models with a technique called federated learning to tackle data scarcity. Think of it like this: instead of sending all your data to o
