• 专利标题: System and method for concurrent training and updating of machine learning models at edge nodes in a peer to peer network
  • 申请号: US17113083
    申请日: 2020-12-06
  • 公开(公告)号: US11716379B2
    公开(公告)日: 2023-08-01
  • 发明人: Subash Sundaresan
  • 申请人: swarmin.ai
  • 申请人地址: US CA Fremont
  • 专利权人: Subash Sundaresan
  • 当前专利权人: Subash Sundaresan
  • 当前专利权人地址: US CA Fremont
  • 主分类号: H04L67/104
  • IPC分类号: H04L67/104 G06N20/00 H04L9/32
System and method for concurrent training and updating of machine learning models at edge nodes in a peer to peer network
摘要:
A method for concurrent training and updating a machine learning (ML) model at an edge node in a peer to peer network using a certifying node is provided. The method includes performing an incremental training of the ML model by a first edge node based on one or more data points associated with a data event. The first edge node ML transfers the incrementally trained ML model to the certifying node. While awaiting a response form the certifying node, the first edge node receives a certified ML model from the certifying node. The certified ML model originates from a second edge node. The first edge node performs an incremental training of the received certified ML model based on one or more data points by re-applying the data points associated with the event data. The first edge node transfers the incrementally trained ML model to the certifying node for certification.
信息查询
0/0