The Next Frontier: Fully Decentralized AI Training

Our vision for web3 AI is grounded in our considerable research contributions to the AI community over the years.👇🏻

- "Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology" published in the Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2023. (

- "Multigraph topology design for cross-silo federated learning," an arXiv preprint, 2023. (

- "Addressing Non-IID Problem in Federated Autonomous Driving with Contrastive Divergence Loss," an arXiv preprint, 2023. (

- "Deep Federated Learning for Autonomous Driving," published in the Proceedings of the 33rd IEEE Intelligent Vehicles Symposium (IV), 2022. (

These are just a few examples of the many decorated research papers the @AIOZNetwork team have been behind in recent years.

Our commitment to pioneering research in federated learning and deep tech sets the stage for a future where machine learning models are trained collaboratively, leveraging the power of #DePIN.

$AIOZ