Bidirectional verifiable federal learning method for privacy protection

• Main Authors: ZHANG SHENG, WANG YIFAN, CHEN FEI, LEE MYOUNGJU
• Format: Patent
• Language: Chinese; English
• Published: 05.03.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention relates to a privacy-protection bidirectional verifiable federated learning method, which comprises the following steps of: based on an aggregation server and clients, introducing stable communication client analysis in combination with a trusted third party KGC, and executing federate...