A mobile terminal system supporting decentralized AI

Abstract

The present invention proposes a mobile terminal system and method supporting decentralized AI. The system utilizes decentralized technology and blockchain networks to realize computing power and data sharing of mobile devices, while protecting user privacy and automatically motivating user contributions through smart contracts. The system mainly includes: a data processing unit that performs local AI model training; a decentralized network communication unit that supports the upload and download of data and model updates; a user interface unit that displays training progress and incentive information; a privacy protection unit that encrypts and desensitizes user data; and an incentive mechanism unit that automatically allocates incentives based on user contributions. By building a decentralized AI ecosystem, the present invention promotes the sharing of data and computing power resources and strengthens privacy protection.

Description

Technical Field

[0001] The present invention relates to the field of mobile terminals and artificial intelligence technology, and in particular to a mobile terminal system supporting decentralized AI, which aims to achieve mobile device computing power sharing, user privacy protection, contribution-based user incentives, and community-based governance. Background Art

[0002] In the current technological context, the rapid development of artificial intelligence (AI) technology is driving social and economic transformation. AI models, especially deep learning models, have attracted widespread attention due to their outstanding performance in many fields such as image recognition, natural language processing, and recommendation systems. However, these models usually require a large amount of data for training and powerful computing resources to process this data, resulting in a dependence on data centers. This reliance on centralized data centers not only leads to high costs, but also raises concerns about user privacy protection. The practice of processing and storing user data in data centers puts users' sensitive information at risk of leakage and abuse.

[0003] In addition, there are several other problems with the centralized architecture of current AI technology. First, this architecture may lead to a monopoly of computing power and data resources, limiting the participation opportunities of small businesses and individual developers, and inhibiting the development of technological innovation and diversity. Second, this control mode of the centralized system may also affect the transparency and fairness of the algorithm, thereby triggering a crisis of public trust in the decision-making process of the AI ​​system.

[0004] Therefore, it is particularly important to develop a new type of AI system that can protect user privacy while effectively utilizing idle computing power on devices at the edge of the network (such as smartphones, IoT devices, etc.) to provide resources for the training and deployment of AI models. This will not only reduce dependence on central data centers and reduce costs, but also promote the democratization and decentralization of AI technology by utilizing decentralized data and computing resources, thereby stimulating broader technological innovation and application development. In addition, by introducing a fair contribution-based incentive mechanism and a decentralized governance structure, this new AI system can also ensure fair allocation of resources and transparency of management decisions, thereby achieving a more just and sustainable technology ecosystem. Summary of the invention

[0005] In response to the above problems, the present invention provides a mobile terminal system that supports decentralized AI. The system integrates the computing resources of mobile devices and adopts blockchain technology to ensure data security and user privacy protection. At the same time, it introduces an incentive mechanism based on smart contracts and a community governance model, aiming to build an open, fair and transparent decentralized AI ecosystem. Technical Solution

[0006] like Figure 1 , Figure 2 This invention proposes a mobile terminal system that supports decentralized AI, aiming to achieve localization, privacy protection, and fair incentives for AI model training by utilizing edge computing and blockchain technology, and promote the development of a decentralized AI ecosystem. The following is a detailed technical solution of the invention: Data processing unit This unit is deployed on the user's mobile terminal device, using a high-performance processor and optimized algorithms to enable the device to perform AI model training and reasoning tasks locally. This not only reduces dependence on central servers and reduces data transmission costs, but also speeds up the response time of AI models and improves user experience. In order to maximize the use of device computing power, the data processing unit uses a dynamic scheduling algorithm to intelligently allocate computing resources without affecting the normal use of the device.

[0007] Decentralized network communication unit This unit is responsible for establishing connections with decentralized networks (such as IPFS) and blockchain networks to achieve secure and efficient upload and download of data and model updates. Through decentralized storage technology, user data and model updates can be stored in a decentralized manner in the network, enhancing data security and availability. At the same time, the application of blockchain technology ensures the transparency and immutability of data transactions, providing a basis for trust for users.

[0008] User interface unit Through a friendly user interface, this unit provides users with an intuitive operating platform, where users can view the progress and results of AI training in real time and understand their own data and computing power contributions. The interface will also display the incentive information obtained by users through smart contracts, such as digital currency, points, etc., to increase the enthusiasm and transparency of user participation.

[0009] Privacy Protection Unit Considering the importance of user privacy, this unit plays a vital role in the system. Through advanced encryption technology and data desensitization, it ensures the security of user data when it is processed locally and prevents sensitive information from being leaked during training. In addition, the privacy protection unit is also responsible for managing encryption keys to ensure that the encryption and decryption process of data is safe and controllable.

[0010] Incentive Mechanism Unit In order to motivate users to contribute data and computing power, this unit automatically implements an incentive mechanism through smart contracts. The incentive amount is automatically calculated based on the user's contribution and distributed in the form of digital currency or points. The design of this incentive mechanism aims to establish a fair and transparent incentive system to encourage users to actively participate in the construction of a decentralized AI system.

[0011] In summary, the present invention integrates edge computing, decentralized storage and blockchain technology to propose a decentralized AI mobile terminal system that can protect user privacy and achieve computing power and data sharing. By realizing localized processing, secure storage, fair incentives and community governance, the present invention lays a solid foundation for the development of a decentralized AI ecosystem. BRIEF DESCRIPTION OF THE DRAWINGS In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and should not be regarded as limiting the scope. For those of ordinary skill in the art, other relevant drawings can be obtained based on these drawings without creative work. In the drawings: Figure 1 This is a structural diagram of a mobile terminal system that supports decentralized AI; Figure 2 A method flow chart of an implementation method of a mobile terminal supporting decentralized AI; Figure 3 The following is a diagram showing an example implementation of a mobile terminal system supporting decentralized AI. DETAILED DESCRIPTION

[0012] The present invention provides a mobile terminal system supporting decentralized AI and its implementation method, aiming to protect user privacy by integrating the computing power of mobile terminal devices, utilizing decentralized networks and blockchain technology, and realizing user incentives and community governance. The following describes in detail the steps for implementing the present invention: 1. Mobile terminal devices participate in computing The user first authorizes the system of the present invention to use the idle computing power of the device on his mobile terminal device. The data processing unit is then started to dynamically monitor the current usage status of the device to determine the computing power that can be used for decentralized AI task calculations.

[0013] When the device is in a low-load state, the data processing unit will receive AI tasks distributed from the decentralized network and use idle computing power to start local training or data processing tasks.

[0014] 2. Data Submission and Processing Users submit data for AI training through the user interface unit. These data may include pictures, text, audio or other forms of data for training specific AI models.

[0015] The submitted data is first processed by the privacy protection unit, including data encryption and desensitization operations, to ensure the privacy and security of user data. The processed data is uploaded to the decentralized network, such as IPFS, through the decentralized network communication unit to achieve decentralized storage of data.

[0016] 3. Implementation of incentive mechanism The system automatically calculates incentives based on the user's computing power and data contribution through the incentive mechanism unit. Smart contracts are executed on the blockchain to ensure the transparency and fairness of incentive distribution.

[0017] The incentives users receive can be in the form of digital currency, points, or other forms, which are intended to encourage users to contribute their data and computing power more actively.

[0018] 4. Community Governance Participation This system realizes community governance through blockchain technology, allowing all users to participate in system governance. Users can participate in decision-making through voting, such as the selection of AI models, system updates, and incentive mechanism adjustments.

[0019] The voting process is executed on the blockchain through smart contracts, ensuring the transparency and immutability of the voting.

[0020] Implementation Example like Figure 3 As shown in the figure, assume that in a decentralized AI training task for image recognition, the user submits image data through a mobile terminal device and agrees to use the device's idle computing power to participate in the training. The image data submitted by the user is encrypted and processed locally and then uploaded to the IPFS network. The device starts to perform model training locally according to the assigned training task. After completion, the model update obtained from the training is uploaded through the decentralized network communication unit, and the contribution is recorded through the smart contract, and the corresponding digital currency is allocated to the user as an incentive. Users can also participate in the voting for model selection through the user interface unit to jointly decide the model direction for the next stage of training.

[0021] Through the above implementation methods, the present invention realizes an efficient, secure and user-friendly decentralized AI mobile terminal system, which not only protects user privacy, but also stimulates users' enthusiasm to contribute computing power and data, while promoting the transparency and fairness of the system through a community governance model.

[0022] Technical Effects The present invention combines decentralized technology, blockchain and smart contracts to design a mobile terminal system that supports decentralized AI, which brings significant technical effects and social impacts, which are specifically reflected in the following aspects: 1. Effective protection of user data privacy By adopting decentralized storage solutions (such as IPFS) and encrypting and desensitizing user data locally, the present invention significantly enhances the privacy protection of user data. Compared with traditional centralized storage, decentralized storage does not rely on a single data center and can effectively prevent data leakage and unauthorized access. In addition, the application of blockchain technology further enhances the transparency and security of data management. All data transactions are recorded on the blockchain, ensuring the immutability and traceability of the data.

[0023] 2. Efficient use of computing resources The present invention uses a dynamic scheduling algorithm to enable mobile terminal devices to participate in AI model training tasks in their free time without interfering with the normal use of users. This computing power sharing mode using network edge devices not only greatly reduces the cost of AI training, but also improves the resource utilization and computing efficiency of the entire network.

[0024] 3. Fair incentive mechanism based on contribution Through the incentive mechanism automatically implemented by smart contracts, users can obtain corresponding incentives, such as digital currency or points, based on their data and computing power contributions. This incentive method not only increases the enthusiasm of users to participate in decentralized AI training tasks, but also provides impetus for the construction and development of the decentralized AI ecosystem. The design and implementation process of the incentive mechanism is completely transparent, ensuring the fairness of incentive distribution.

[0025] 4. Implementation of community governance This invention establishes a decentralized autonomous organization (DAO) so that all participants can participate in the governance of the system, including voting on important decisions such as AI model selection, incentive mechanism adjustment, and system updates. This community governance model effectively realizes the decentralization of AI technology, promotes the open development of AI technology, and enables the development direction and results of AI technology to better serve the needs of society and users.

[0026] In summary, through technological innovation, the present invention can not only improve the efficiency and economy of AI training, but more importantly, it will promote the fairness and sustainability of the development of AI technology and lay the foundation for building a more open, secure and fair AI ecosystem.

[0027] The above describes the preferred embodiments of the present invention. Of course, the implementation of the present invention is not limited to these, but also includes more variants and modifications, which should be regarded as belonging to the protection scope of the present invention.

Claims

1. Claim 1: A mobile terminal system supporting decentralized AI, characterized in that include: A data processing unit configured with algorithms and instruction sets for executing AI model training locally; A decentralized network communication unit, used for the mobile terminal system to communicate with the decentralized network and support the upload and download of data and model updates; A user interface unit that provides an interface for interacting with users and is used to display AI model training progress, results, and incentive information for user contributions; A privacy protection unit, which is used to encrypt and desensitize user data to ensure that the data is processed locally and not leaked; An incentive mechanism unit that works in conjunction with the decentralized network communication unit to automatically distribute incentives to users according to smart contract rules.

2. Claim 2: The mobile terminal system supporting decentralized AI according to claim 1, characterized in that: The decentralized network communication unit uses the IPFS protocol to store and retrieve data and model updates.

3. Claim 3: The mobile terminal system supporting decentralized AI according to claim 1 or 2, characterized in that: The privacy protection unit is further configured with a key management subunit for generating and managing encryption keys.

4. Claim 4: A mobile terminal system supporting decentralized AI according to any of the preceding claims, characterized in that: The incentive mechanism unit realizes the incentive distribution based on points by interacting with the public chain network.

5. Claim 5: A mobile terminal system supporting decentralized AI according to any of the preceding claims, characterized in that: The data processing unit is configured with a processor for executing a federated learning algorithm, supporting distributed training of AI models among multiple mobile terminal systems.

6. Claim 6: A method for using a mobile terminal system supporting decentralized AI, comprising the following steps: ① Perform local training of AI models on the data processing unit; ②Upload the trained model updates to the decentralized network through the decentralized network communication unit, and download the model updates uploaded by other mobile terminal systems; ③ Encrypt and desensitize user data through the privacy protection unit; ④ Receive incentives based on user contributions through the incentive mechanism unit.

7. Claim 7: The method of use according to claim 6, characterized in that: The uploading and downloading steps of the model updates further include storing and retrieving the model updates in a decentralized network using the IPFS protocol.

8. Claim 8: The method of use according to claim 6 or 7, characterized in that: The step of receiving incentives based on user contributions further includes automatically calculating the user's contribution through a smart contract and allocating corresponding points as incentives.

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