Federated Agentic AI: Privacy-Preserving Collaborative Swarms on Edge Devices

ABSTRACT

The deployment of personal Agentic AI assistants is severely hindered by the privacy risks associated with uploading sensitive personal data (e.g., financial records, private messages) to centralized cloud APIs. We propose a Federated Agentic AI framework that enables a swarm of specialized agents running on local edge devices (smartphones, laptops) to collaboratively solve complex tasks without sharing raw user data. By exchanging only encrypted cognitive state updates and leveraging secure multi-party computation for global routing, our system achieves near-cloud orchestration capabilities while mathematically guaranteeing local data sovereignty.