Federated Learning for Image Generation

Derivated from

https://qvacbytether.featurebase.app/p/local-image-generation

Federated learning can definitely enhance the quality of diffusion models while offering a privacy-preserving alternative to centralized solutions. Unlike these solutions, where user data (prompts, generated images or seed uploads) is sent to servers for processing (and potentially retained), FL enables collaborative model training across decentralised devices without sharing raw data.

It remains to be solved how good this can get, how scalable it is and what nodes have more incentive in handling this effort for the benefit of all. Universities could be an example.