Researchers have demonstrated that large language models (LLMs) can identify pseudonymous users across different social media platforms with high accuracy, potentially undermining online privacy and opening users up to risks like doxxing and targeted advertising. The study highlights the growing capability of AI to deanonymize individuals based on their online activity, even with limited information.
This article explores how to run an agent on a federated learning architecture, discussing the benefits, challenges, and steps involved.
