Open Internet by MindsNet

Decentralizing AI Training

The current centralized approach to AI training has limitations. A decentralized system for AI training could potentially increase efficiency and accessibility, but several challenges need to be addressed. These challenges include verifying the usefulness of contributed training work, preventing fake or harmful gradients, and objectively measuring model improvements. A viable architecture is needed to make decentralized AI training work.

Computing & Technology, Computer Science, Machine Learning