Load Balancing in Blockchain Environments

    公开(公告)号:US20230030922A1

    公开(公告)日:2023-02-02

    申请号:US17967100

    申请日:2022-10-17

    Inventor: Paul Snow

    Abstract: Hardware and software resources are load balanced when processing multiple blockchains. As more and more entities (whether public or private) are expected to generate their own blockchains for verification, a server or other resource in a blockchain environment may be over utilized. For example, as banks, websites, and retailers issue their own private cryptocoinage, the number of financial transactions may clog or hog networking and/or hardware resources. A blockchain load balancing mechanism thus allocates resources among the multiple blockchains.

    Load balancing in blockchain environments

    公开(公告)号:US11477271B2

    公开(公告)日:2022-10-18

    申请号:US17448942

    申请日:2021-09-27

    Inventor: Paul Snow

    Abstract: Hardware and software resources are load balanced when processing multiple blockchains. As more and more entities (whether public or private) are expected to generate their own blockchains for verification, a server or other resource in a blockchain environment may be over utilized. For example, as banks, websites, and retailers issue their own private cryptocoinage, the number of financial transactions may clog or hog networking and/or hardware resources. A blockchain load balancing mechanism thus allocates resources among the multiple blockchains.

    Stable Cryptocurrency Coinage
    9.
    发明申请

    公开(公告)号:US20220058623A1

    公开(公告)日:2022-02-24

    申请号:US17451654

    申请日:2021-10-21

    Abstract: A two-coin mechanism for maintaining a stable value of cryptographic coinage traded in a decentralized market exchange without requiring a reserve. A pegged cryptographic token and a variable-priced cryptographic token are both traded in the reserveless decentralized market exchange. The pegged cryptographic token and the variable-priced cryptographic token are value related based on a cryptographic exchange rate. Whenever a market transaction is processed (such as a buy or sell order), at least one of a destruction operation and a creation operation are performed. The destruction operation destroys at least one of the pegged cryptographic token and/or the variable-priced cryptographic token, while the creation operation creates new ones of the pegged cryptographic token and/or the variable-priced cryptographic token. The two-coin mechanism thus implements a decentralized and algorithmic monetary policy that removes and/or deposits cryptographic tokens to/from the reserveless decentralized market exchange to alter supply and to maintain stable coinage values.

    Artificial intelligence modifying federated learning models

    公开(公告)号:US12192371B2

    公开(公告)日:2025-01-07

    申请号:US17323067

    申请日:2021-05-18

    Abstract: Data verification in federate learning is faster and simpler. As artificial intelligence grows in usage, data verification is needed to prove custody and/or control. Electronic data representing an original version of training data may be hashed to generate one or more digital signatures. The digital signatures may then be incorporated into one or more blockchains for historical documentation. Any auditor may then quickly verify and/or reproduce the training data using the digital signatures. For example, a current version of the training data may be hashed and compared to the digital signatures generated from the current version of the training data. If the digital signatures match, then the training data has not changed since its creation. However, if the digital signatures do not match, then the training data has changed since its creation. The auditor may thus flag the training data for additional investigation and scrutiny.

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