Collaborative Generative

Collaborative generative AI focuses on developing methods for multiple agents or systems to jointly create data or models, addressing challenges like resource limitations and data privacy. Current research explores techniques such as split learning and generative cooperative learning, often employing diffusion models and large language models (LLMs) to facilitate efficient collaboration and improve the quality of generated outputs, for example, in text-to-image generation or video anomaly detection. This field is significant for enabling distributed training of complex generative models, enhancing data privacy in sensitive applications like healthcare, and improving the efficiency of various tasks through collaborative problem-solving.