MicroPython Testbed for Federated Learning Algorithms (MPT-FLA) Framework Advancing Federated Learning at the Edge

Introducing MPT-FLA: Practical Solutions for Federated Learning at the Edge MPT-FLA (MicroPython Testbed for Federated Learning Algorithms) offers practical solutions for building decentralized and distributed applications for edge systems. It supports both centralized and decentralized federated learning algorithms and facilitates peer-to-peer data exchange. Key Features: - Lightweight and easy to install - Written in pure Python - Suitable for small IoT devices - Allows individual application instances to run on different network nodes Validation and Performance: MPT-FLA has been validated on a wireless network with PCs and Raspberry Pi Pico W boards, confirming its functional correctness. Detailed performance evaluations are ongoing. Advantages and Future Work: - Extends support to distributed applications - Compatible with smaller IoT platforms - Future work includes developing benchmark applications and conducting detailed performance evaluations Evolving with AI: MPT-FLA offers opportunities to advance federated learning at the edge, providing practical solutions for automation and customer engagement. Connect with Us: Visit our website or follow us on Telegram and Twitter to explore AI solutions and receive AI KPI management advice. AI Sales Bot: Explore the AI Sales Bot from itinai.com/aisalesbot, designed to automate customer engagement 24/7 and manage interactions across all customer journey stages. Useful Links: - AI Lab in Telegram @itinai – free consultation - Twitter – @itinaicom