Abstract: A computer-implemented method and system for enhancing data integrity and predictive accuracy in federated learning environments are disclosed. The method includes receiving input data comprising a request for a predictive response, dividing the input into components, and transmitting the components to nodes within a federated network. Each node processes the data with a local model, generating datasets analyzed to identify relevant subsets. A predictive response is generated based on these subsets, with a value function applied to evaluate the contribution of each data element to the response. Data lineage is established by recording metadata and cryptographic proofs for data elements used in predictions. The system ensures privacy by preserving non-identifiable data attributes while supporting dataset normalization, topic modeling, and embedding transformations.

Abstract: A computer-implemented method is disclosed for managing data transactions and verifying data integrity within a decentralized network using blockchain technology. This method involves receiving a data submission containing multiple data attributes and a unique digital identifier from a data provider's device. The data submission is authenticated via blockchain, verifying its cryptographic signature. A verifiable credential is generated, including the data attributes and a cryptographic proof created using zero-knowledge proofs to ensure each attribute's integrity. This verifiable credential is linked to the provider's device and stored on a connected database. An access credential is also generated, allowing specified data access under set permissions. Data access requests from authorized devices are verified and matched to credentials stored on the database.

Abstract: A system and method for creating a physical three-dimensional model based on a plurality of digital assets is disclosed. The system comprises a first computing device, a second computing device, and a third computing device. The first computing device is configured for sending, over a communications network to a second computing device that is provisioned and managed by a third party, a compressed top-down model, and a compressed three-dimensional base model to be stored on the second computing device. The third computing device is configured for a user to interact with a user interface provided by the second computing device to combine digital assets and wherein the system simultaneously generates a three-dimensional rendering of the composite of the digital assets. The system then creates a new digital asset stored on a blockchain network and generates physical model thereof based on the composite three-dimensional rendering.

Abstract: A system and method for creating a physical three-dimensional model based on a plurality of digital assets is disclosed. The system comprises a first computing device, a second computing device, and a third computing device. The first computing device is configured for sending, over a communications network to a second computing device that is provisioned and managed by a third party, a compressed top-down model, and a compressed three-dimensional base model to be stored on the second computing device. The third computing device is configured for a user to interact with a user interface provided by the second computing device to combine digital assets and wherein the system simultaneously generates a three-dimensional rendering of the composite of the digital assets. The system then creates a new digital asset stored on a blockchain network and generates physical model thereof based on the composite three-dimensional rendering.