Envisioning a new imaginative idea together is a popular human need. Imagining together as a team can often lead to breakthrough ideas, but the collaboration effort can also be challenging, especially when the team members are separated by time & space. What if there is a AI that can assist the team to collaboratively envision new ideas?. Is it possible to develop a working model of such an AI? The contribution of this paper is to develop such an intelligence. This paper proposes a formula to design such a creative & collaborative intelligence by employing a form of distributed machine learning approach called Federated Learning along with Generative Adversarial Network (GAN) fusion. This paper demonstrates this novel deep learning architectural paradigm by developing a practical working prototype. The outputs of the prototype of this novel AI paradigm in showcased in this paper. This collaborative creative AI presents a new paradigm in AI, one that lets a team of two or more to come together to imagine and envision ideas that is mutual liked by all team members as well one that synergies well with each other’s likes. This was possible by a completely new way to combine federated learning with an interesting new way to combine multiple GAN together. In short, this paper contributes a novel type of AI paradigm, called Federated AI Imagination one that lets geographically distributed teams to collaboratively imagine new possibilities.

Artificial Intelligence, Distributed Machine Leaning, Generative Deep Learning, Generative Adversarial Networks, Federated learning, Creative AI, AI based Collaboration, AI planning

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