Yes, absolutely — the idea of building and training AI models using distributed computing , especially with tiny or resource-constrained devices like Raspberry Pis , is possible in concept and increasingly viable with the right technology stack. There are a few real-world technologies and approaches that relate to what you're describing. 🔹 What You’re Describing: You're imagining a world where: A small, local device (like a Raspberry Pi) can train or fine-tune a small model. These devices are networked , forming a distributed system . They collaboratively train a model or share knowledge (like a federated system). This is an intersection of: Distributed Computing Federated Learning TinyML Edge AI 🔧 Technologies and Concepts to Look Into 1. Federated Learning A decentralized approach to training models where each device trains on its own data locally, and only updates (not raw data) are sent to a central server or aggregator. Used by : G...