A reference implementation of Hierarchical Federated Learning using Flower and PyTorch. HFL has been implemented simulating an automatic horizontal scaling of an intermediate level of edge servers.

Yuma, a development studio and accelerator for decentralized AI (deAI ... program focused on pooling together specialized machine learning called “BittBridge.” The partnership with Yuma ...

It’s also known as game-based learning, and it’s catching on fast in high schools. Instead of zoning out during lectures, students are exploring ancient civilizations through virtual timelines, ...

Federated learning (FL) addresses this challenge head-on. By allowing AI models to train across decentralized networks without transferring raw data, FL strengthens security, protects privacy and ...

Abstract: Emerging technologies and use cases, such as smart Internet of Things (IoT), Internet of Agents, and Edge AI, have generated significant interest in training neural networks over fully ...