TIANJIN UNIVERSITY OF SCIENCE & TECHNOLOGY (20240256872). BLOCKCHAIN-BASED AI MODEL TRAINING METHOD simplified abstract
Contents
BLOCKCHAIN-BASED AI MODEL TRAINING METHOD
Organization Name
TIANJIN UNIVERSITY OF SCIENCE & TECHNOLOGY
Inventor(s)
BLOCKCHAIN-BASED AI MODEL TRAINING METHOD - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240256872 titled 'BLOCKCHAIN-BASED AI MODEL TRAINING METHOD
The abstract describes a method for training AI models using blockchain technology.
- Building an original AI model based on data set features.
- Randomly assigning participants into three categories: model trainer, model verifier, and model uploader.
- Generating partial models during each round of training.
- Verifying partial models using locally generated models.
- Aggregating verified partial models to create a global model for the round.
- Storing the global model, checking results, and all partial models in a blockchain.
Potential Applications: - AI model training in various industries such as finance, healthcare, and marketing. - Collaborative AI model development among distributed teams. - Ensuring model integrity and security through blockchain technology.
Problems Solved: - Ensures transparency and trust in AI model training processes. - Prevents tampering or manipulation of AI models during training. - Facilitates collaboration and knowledge sharing among participants.
Benefits: - Increased accuracy and reliability of AI models. - Enhanced security and integrity of training processes. - Streamlined collaboration and communication among participants.
Commercial Applications: Title: "Blockchain-Based AI Model Training for Enhanced Security and Collaboration" This technology can be used in industries such as finance for fraud detection, healthcare for diagnostics, and marketing for customer segmentation.
Prior Art: Researchers can explore prior studies on blockchain-based AI model training methods and collaborative model development.
Frequently Updated Research: Stay updated on advancements in blockchain technology for AI model training and the integration of decentralized systems in machine learning processes.
Questions about Blockchain-Based AI Model Training: 1. How does blockchain technology enhance the security of AI model training? Blockchain technology ensures the immutability and transparency of training processes, preventing unauthorized access or manipulation of AI models.
2. What are the potential challenges of implementing a blockchain-based AI model training method? Challenges may include scalability issues, integration with existing systems, and ensuring consensus among participants in the training process.
Original Abstract Submitted
a blockchain-based ai model training method is provided, comprising: building an original ai model according to features of data sets; randomly allocating participants in a training process proportionally into three categories: a model trainer, a model verifier and a model uploader, prior to start of each round of training of the original ai model; during each round of training, generating, by the model trainer and the model verifier, respective partial models of a current round; checking, by the model verifier, partial models generated by the model trainer through using partial models generated locally; aggregating, by the model uploader, all partial models passing the checking of the model verifier to obtain a global model of the current round, and packing the global model, checking results and all the partial models of the current round into a blockchain.
