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    SYSTEM AND METHOD FOR DECENTRALIZED MARKETPLACES
    2.
    发明申请
    SYSTEM AND METHOD FOR DECENTRALIZED MARKETPLACES 审中-公开

    公开(公告)号：WO2021242919A1

    公开(公告)日：2021-12-02

    申请号：PCT/US2021/034341

    申请日：2021-05-26

    Applicant: JPMORGAN CHASE BANK, N.A.

    Inventor： HUNTER, John C. ,  PATEL, Palka P. ,  SHETTY, Suresh ,  UPADHYAY, Sudhir ,  MOVVA, Tulasi D. ,  SOMASHEKAR, Vinay ,  ANANDHAN, Ramesh Babu

    IPC: G06Q30/06

    Abstract: A method for distributed application distribution may include: (1) receiving, at a first decentralized marketplace instance in a distributed ledger network and from a first node of the plurality of nodes, the first node associated with a distributed application creator, a distributed application; (2) making available, by the first decentralized marketplace instance, the distributed application to decentralized marketplace instances, wherein the first node is configured to provide the distributed application to a second node, the second node associated with a distributed application collaborator; (3) receiving, at a second decentralized marketplace instance and from the second node, a modified version of the distributed application; and (4) making available, by the second decentralized marketplace instance, the modified version of the distributed application to the decentralized marketplace instances, wherein the second node is configured to provide the distributed application to a third node, the third node associated with a distributed application consumer.

    SYSTEMS AND METHODS FOR FEDERATED LEARNING USING PEER-TO-PEER NETWORKS
    3.
    发明申请
    SYSTEMS AND METHODS FOR FEDERATED LEARNING USING PEER-TO-PEER NETWORKS 审中-公开

    公开(公告)号：WO2022165535A1

    公开(公告)日：2022-08-04

    申请号：PCT/US2022/070455

    申请日：2022-02-01

    Applicant: JPMORGAN CHASE BANK, N.A.

    Inventor： BEHERA, Monik Raj ,  UPADHYAY, Sudhir ,  OTTER, Rob ,  SHETTY, Suresh

    IPC: G06N20/20

    Abstract: Systems and methods for federated learning using peer-to-peer networks are disclosed. A method may include: electing a participant node as a collaborator node using a consensus algorithm; the collaborator node generating and broadcasting a public/private key pair; the participant nodes generating public/private key pairs for each communication with the collaborator node, encrypting and broadcasting a message comprising a parameter for a local machine learning model for the participant node and its public key with the collaborator node's public key, the collaborator node decrypting the encrypted messages, updating an aggregated machine learning model with the decrypted parameters, encrypting and broadcasting update messages each comprising an update with each participant node's public key; the participant nodes decrypting one of the messages with their private keys, and the participant nodes updating their local machine learning models with the update.

    SYSTEM AND METHOD FOR DECENTRALIZED NOTIFICATION SERVICES
    4.
    发明申请
    SYSTEM AND METHOD FOR DECENTRALIZED NOTIFICATION SERVICES 审中-公开

    公开(公告)号：WO2023086684A1

    公开(公告)日：2023-05-19

    申请号：PCT/US2022/070587

    申请日：2022-02-09

    Applicant: JPMORGAN CHASE BANK, N.A.

    Inventor： ANANDHAN, Ramesh Babu ,  JIAO, Chang Yang ,  UPADHYAY, Sudhir ,  EAPEN, Thomas ,  MOVVA, Tulasi ,  SHETTY, Suresh

    IPC: H04L67/55

    Abstract: Systems, methods, and devices for decentralized notification services are disclosed. In some aspects, the techniques described herein relate to: providing a distributed notification service configured to execute on each node of a plurality of nodes of a decentralized peer-to-peer platform; determining, by the distributed notification service of a first node, a notification definition, where the notification definition is from a catalog of notification definitions and included in a distributed application executing on the first node; sending, by the distributed notification service of a second node, a notification message, where the notification message is associated with the notification definition; receiving, by the distributed notification service of the first node, the notification message; and delivering, by the distributed notification service of the first node, the notification message in the distributed application executing on the first node.

    SYSTEMS AND METHODS FOR REWARD-DRIVEN FEDERATED LEARNING
    6.
    发明申请
    SYSTEMS AND METHODS FOR REWARD-DRIVEN FEDERATED LEARNING 审中-公开

    公开(公告)号：WO2022256813A1

    公开(公告)日：2022-12-08

    申请号：PCT/US2022/072705

    申请日：2022-06-02

    Applicant: JPMORGAN CHASE BANK, N.A.

    Inventor： UPADHYAY, Sudhir ,  BEHERA, Monik Raj

    IPC: G06Q30/02 ,  G06N3/04

    Abstract: Systems and methods for federated learning based on a reward-driven approach are disclosed. In one embodiment, a method may include: (1) receiving, by a federated contribution computer program executed by a federated node in a distributed ledger network, a plurality of local machine learning model updates from a plurality of clients in the distributed ledger networks; (2) retrieving, by the federated contribution computer program, a prior global machine learning model; (3) calculating, by the federated contribution computer program, a current global machine learning model based on the prior global machine learning model and the plurality of local machine learning model updates; (4) determining, by the federated contribution computer program, a federated contribution for each client based on each client's federated contribution to the current global machine learning model; and (5) issuing, by the federated contribution computer program, rewards to each client based on the client's federated contribution.

    SYSTEMS AND METHODS FOR FEDERATED LEARNING USING DISTRIBUTED MESSAGING WITH ENTITLEMENTS FOR ANONYMOUS COMPUTATION AND SECURE DELIVERY OF MODEL
    7.
    发明申请
    SYSTEMS AND METHODS FOR FEDERATED LEARNING USING DISTRIBUTED MESSAGING WITH ENTITLEMENTS FOR ANONYMOUS COMPUTATION AND SECURE DELIVERY OF MODEL 审中-公开

    公开(公告)号：WO2022109617A1

    公开(公告)日：2022-05-27

    申请号：PCT/US2021/072556

    申请日：2021-11-22

    Applicant: JPMORGAN CHASE BANK, N.A.

    Inventor： UPADHYAY, Sudhir ,  OTTER, Rob ,  SHETTY, Suresh ,  BEHERA, Monik Raj

    IPC: H04L9/00 ,  H04L9/08 ,  H04L9/32

    Abstract: A method may include an aggregator node in a distributed computer network: generating an aggregator node public/private key pair; communicating the aggregator node public key to participant nodes; receiving, from each participant node, a message comprising a local machine learning (ML) model encrypted with a participant node private key and the aggregator node public key, and a participant node public key encrypted with the aggregator node public key; decrypting the local ML models and the participant node public keys using the aggregator node public key; decrypting the local ML models using the participant node public keys; generating an aggregated ML model based on the local ML models; encrypting, with each participant node public key, the aggregated ML model; and communicating the encrypted ML models to all participant nodes. Each participant node decrypts one of the encrypted ML models and modifies its local ML model with the aggregated ML model.

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