FLESHNET
Building blocks for adaptive decentralized federated learning experimentally validated in wireless mesh network testbeds
Product Information
- Description
- FLESHNET provides modular components for implementing adaptive decentralized federated learning systems specifically designed for wireless mesh network environments. The software enables machine learning model training across distributed edge devices without centralizing sensitive data, preserving privacy while leveraging collective intelligence from multiple nodes. Key features include autonomous decision-making capabilities for participants, decentralized governance mechanisms for data ownership, and experimental validation tools tested in real-world wireless mesh testbeds like the GuifiSants city network. This solution addresses the growing need for distributed AI applications where edge devices process increasing volumes of sensor data while maintaining data sovereignty and network resilience. Use cases span smart city deployments, industrial IoT monitoring, and community-driven AI applications where traditional centralized approaches face privacy, latency, or connectivity constraints.
- Categories
- Network Infrastructure Data & Machine Learning
Linked NGI Projects
This product was created or improved through NGI-funded projects
Often Used Together
Products commonly used alongside FLESHNET
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