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This article explores how to run an agent on a federated learning architecture, discussing the benefits, challenges, and steps involved.
The article introduces the concept of Federated Language Models, combining edge-based Small Language Models (SLMs) with cloud-based Large Language Models (LLMs) for enhanced privacy and performance in AI applications.
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