Description: Joint Data Governance is a framework that allows for the management of data sharing and usage among participants in a federated learning environment. This approach aims to ensure that data is handled securely, ethically, and efficiently, promoting collaboration among different entities without the need to centralize information. In federated learning, artificial intelligence models are trained locally on participants’ devices, and only the model parameters are shared, not the data itself. This minimizes privacy and security risks while allowing organizations to benefit from the diversity of available data. Joint Data Governance establishes clear policies and procedures for data access, use, and protection, ensuring that all participants comply with established regulations and standards. Additionally, it fosters transparency and trust among the involved parties, which is crucial for the success of any federated learning initiative. In summary, this framework not only facilitates collaboration in data usage but also promotes a responsible and sustainable innovation environment in the field of artificial intelligence and data analysis.
