In this blog, we'll explore how Federated Learning can solve the common challenges around data access. It’s no secret that lack of access to the right data is one of the leading causes of project failures; what is surprising is that the right data often exists in data silos that, frustratingly, data scientists cannot access.
Open-source frameworks for federated learning are a great way of getting first hands-on experience. Here are our Top 7 with their respective pro and cons
In conversation with ChatGPT about the relationship between large language models (LLMs) and federated learning.