LFX Mentorship
Hyperledger - Privacy-preserving federated learning framework based on Fabric and Aries
Hyperledger1 Program Years
Hyperledger - Privacy-preserving federated learning framework based on Fabric and Aries
About the Organization
This project utilizes Hyperledger Fabric to develop a federated learning framework with committee consensus. Hyperledger Fabric is used for storing and tracing global model update exchange. A customized committee consensus mechanism is required to reduce a load of consensus computation by selecting a random smaller subset of nodes to participate in consensus each round. In order to protect the identity of local data owners, the proposed framework will be integrated with Indy, Aries, and Ursa stack projects to offer self-sovereign identity. The mentee will work with the project mentors to gather and validate the requirements, and design the appropriate technical solution.
Primary Technologies & Languages
hyperledger fabrichyperledger arieshyperledger indyfederated learning frameworksblockchaindlt
Technical Topics & Focus Areas
hyperledger fabrichyperledger arieshyperledger indyfederated learning frameworksblockchaindlt
Participation Years
Completed Projects Distribution
Annual Completed Projects History
Hyperledger - Privacy-preserving federated learning framework based on Fabric and AriesHover over bars to view completed counts
4
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1
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2022
Projects1
Years Active1
Stackhyperledger fabric
TierTier 1
Past Projects
Showing 1 of 1 projects. Click any project card for scope, mentors, and proposal studio.
Hyperledger - Privacy-preserving federated learning framework based on Fabric and Aries Mentorship Project
IntermediateThis project utilizes Hyperledger Fabric to develop a federated learning framework with committee consensus. Hyperledger Fabric is used for storing and tracing global model update exchange. A customized committee consensus mechanism is required to reduce a load of consensus computation by selecting a random smaller subset of nodes to participate in consensus each round. In order to protect the identity of local data owners, the proposed framework will be integrated with Indy, Aries, and Ursa stack projects to offer self-sovereign identity. The mentee will work with the project mentors to gather and validate the requirements, and design the appropriate technical solution.