Federated AI

Most AI algorithms are designed to be centralized. Data and computation need to be in a centralized location, which means only large organizations with the resources to collect vast amounts of data and sufficient computational power can develop these solutions.

The major drawback of centralized AIs is the presence of a single authority, which can lead to models trained on biased data, resulting in biased outcomes. Additionally, similar to the dominance of search engines over the past decades, only a few entities can possess the technology and reap the benefits. Platforms like Bittensor attempt to leverage blockchain technology to incentivize experts, entities, and node operators to participate in developing AI solutions. However, these platforms function more like marketplaces and competitive AI solutions. At JungoAI, our goal is to build a Federated AI solution where network nodes collaborate to provide data and computation.