20240045851. METHODS, ARCHITECTURES, APPARATUSES AND SYSTEMS DIRECTED TO BLOCKCHAIN-ENABLED MODEL STORAGE, SHARING AND DEPLOYMENT FOR SUPPORTING DISTRUBUTED LEARNING simplified abstract (InterDigital Patent Holdings, Inc.)

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METHODS, ARCHITECTURES, APPARATUSES AND SYSTEMS DIRECTED TO BLOCKCHAIN-ENABLED MODEL STORAGE, SHARING AND DEPLOYMENT FOR SUPPORTING DISTRUBUTED LEARNING

Organization Name

InterDigital Patent Holdings, Inc.

Inventor(s)

Xu Li of Plainsboro NJ (US)

Chonggang Wang of Princeton NJ (US)

Paul Russell of Lawrence NJ (US)

METHODS, ARCHITECTURES, APPARATUSES AND SYSTEMS DIRECTED TO BLOCKCHAIN-ENABLED MODEL STORAGE, SHARING AND DEPLOYMENT FOR SUPPORTING DISTRUBUTED LEARNING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240045851 titled 'METHODS, ARCHITECTURES, APPARATUSES AND SYSTEMS DIRECTED TO BLOCKCHAIN-ENABLED MODEL STORAGE, SHARING AND DEPLOYMENT FOR SUPPORTING DISTRUBUTED LEARNING

Simplified Explanation

The patent application is for procedures, methods, architectures, apparatuses, systems, devices, and computer program products related to blockchain-enabled model storage, sharing, and deployment for supporting federated learning.

  • The patent application describes a method for blockchain-enabled storage of distributed learning data.
  • The method involves receiving a request for blockchain storage, which includes information about a distributed learning task.
  • Based on the request, the method identifies one or more blockchains that can be used for storage.
  • The method then determines blockchain-related instructions based on the identified blockchains.
  • Finally, the method transmits these instructions to multiple distributed participant nodes.

Potential applications of this technology:

  • Federated learning: The technology can be used to support federated learning, where multiple participants collaborate to train machine learning models without sharing their raw data. The blockchain-enabled storage ensures secure and decentralized storage of the learning data.
  • Data privacy and security: By using blockchain for storage, the technology provides enhanced data privacy and security. The distributed nature of the blockchain ensures that data is not stored in a single centralized location, reducing the risk of data breaches.
  • Collaborative research: The technology can facilitate collaborative research by allowing researchers to securely share and access distributed learning data. The blockchain ensures transparency and traceability of data usage.

Problems solved by this technology:

  • Data privacy concerns: The technology addresses the concern of sharing sensitive data in federated learning. By using blockchain for storage, participants can securely contribute their data without exposing it to others.
  • Data integrity and trust: The blockchain ensures the integrity and trustworthiness of the learning data. The distributed nature of the blockchain prevents unauthorized modifications or tampering of the data.

Benefits of this technology:

  • Enhanced data privacy: The use of blockchain for storage ensures that sensitive data remains private and is only accessible to authorized participants.
  • Decentralized storage: The technology provides a decentralized storage solution, reducing the reliance on centralized servers and improving data availability and resilience.
  • Transparency and traceability: The blockchain enables transparent and traceable storage and usage of learning data. This can enhance trust among participants and enable auditing of data usage.
  • Secure collaboration: The technology enables secure collaboration in federated learning by providing a trusted and decentralized storage solution. Participants can contribute their data without compromising its security.


Original Abstract Submitted

procedures, methods, architectures, apparatuses, systems, devices, and computer program products directed to blockchain-enabled model storage, sharing and deployment for supporting federated learning are provided. among the methods is a method directed to blockchain-enabled storage of distributed learning data that may include receiving information indicating a blockchain storage request, including information associated with a distributed learning task; obtaining information identifying one or more blockchains based on a blockchain storage solution, wherein the blockchain storage solution is based on the information indicating a blockchain storage request; determining blockchain-related instructions based on the blockchain storage solution, wherein the blockchain-related instructions comprise at least some of the information identifying one or more blockchains; and transmitting the blockchain-related instructions to a plurality of distributed participant nodes.

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