Abstract: A participant node of a distributed ledger network may identify a distributed federated learning (DFL) smart contract stored on a blockchain. The DFL smart contract may include an aggregation sequence. The aggregation sequence may include an ordered sequence of participant node identifiers. The participant node may generate a trained model by training a global model with training data. The participant node may detect, on the blockchain, a first transition token indicative of a first model previously aggregated by another participant node. The participant node may receive the first model. The participant node may aggregate the first model with the trained model to generate a second model. The participant node may store, on the blockchain, a second transition token indicative of the second model. A successor node identified in the aggregation sequence may further aggregate the second model with an additional model in response to detection of the second transition token.

Abstract: A master oracle may receive an oracle network identifier for an oracle network. The master oracle may receive a plurality of data messages respectively generated by the oracles. The master oracle may verify, based on respective public keys for the oracles, that each of the data messages are digitally signed by a different corresponding one of the oracles. The master oracle may aggregate the data messages into an aggregated data message. The master oracle may digitally sign the aggregated data message with a private key and public key pair. The master oracle may transmit the aggregated data message to a participant node of a distributed ledger network. A smart contract stored on a blockchain may verify the aggregated data. After receiving and verifying the aggregated data message the smart contract may execute to perform operations based on the aggregated data message.

Abstract: A participant node of a distributed ledger network may identify a distributed federated learning (DFL) smart contract stored on a blockchain. The DFL smart contract may include an aggregation sequence. The aggregation sequence may include an ordered sequence of participant node identifiers. The participant node may generate a trained model by training a global model with training data. The participant node may detect, on the blockchain, a first transition token indicative of a first model previously aggregated by another participant node. The participant node may receive the first model. The participant node may aggregate the first model with the trained model to generate a second model. The participant node may store, on the blockchain, a second transition token indicative of the second model. A successor node identified in the aggregation sequence may further aggregate the second model with an additional model in response to detection of the second transition token.

Abstract: A master oracle may receive an oracle network identifier for an oracle network. The master oracle may receive a plurality of data messages respectively generated by the oracles. The master oracle may verify, based on respective public keys for the oracles, that each of the data messages are digitally signed by a different corresponding one of the oracles. The master oracle may aggregate the data messages into an aggregated data message. The master oracle may digitally sign the aggregated data message with a private key and public key pair. The master oracle may transmit the aggregated data message to a participant node of a distributed ledger network. A smart contract stored on a blockchain may verify the aggregated data. After receiving and verifying the aggregated data message the smart contract may execute to perform operations based on the aggregated data message.

Abstract: Example embodiments of the present invention comprise an analyte sensing patch, comprising a substrate, and a sensing agent disposed on the substrate such that analyte can encounter the sensing agent through a side of the patch disposed adjacent the skin of a subject but not through a side of the patch disposed away from the skin of the subject. Example embodiments of the present invention comprise an analyte sensing patch, comprising a substrate, a sensing material disposed on the substrate in a first region thereof, an adhesive disposed on the substrate in a second region thereof, wherein the second region surrounds the first region, wherein the sensing agent undergoes a change in a discernible characteristic responsive to encounter with a predetermined analyte.

Abstract: Example embodiments of the present invention comprise an analyte sensing patch, comprising a substrate, and a sensing agent disposed on the substrate such that analyte can encounter the sensing agent through a side of the patch disposed adjacent the skin of a subject but not through a side of the patch disposed away from the skin of the subject. Example embodiments of the present invention comprise an analyte sensing patch, comprising a substrate, a sensing material disposed on the substrate in a first region thereof, an adhesive disposed on the substrate in a second region thereof, wherein the second region surrounds the first region, wherein the sensing agent undergoes a change in a discernible characteristic responsive to encounter with a predetermined analyte.

Abstract: A method for anonymously communicating data that defines a token from a source system to a destination system via a block-chain distributed database includes receiving, at a token distribution system, request information from a source system. The request information specifies source identifying information and an address for receiving one or more tokens. The token distribution system determines one or more tokens for allocation to the source system and communicates the allocated tokens to the address defined in the request information via a zero-knowledge transaction. The source system moves the tokens to a different address for communicating a block-chain transaction and communicates the tokens at the different address to a destination address associated with the destination system via a block-chain transaction.

Abstract: A master oracle may receive an oracle network identifier for an oracle network. The master oracle may receive a plurality of data messages respectively generated by the oracles. The master oracle may verify, based on respective public keys for the oracles, that each of the data messages are digitally signed by a different corresponding one of the oracles. The master oracle may aggregate the data messages into an aggregated data message. The master oracle may digitally sign the aggregated data message with a private key and public key pair. The master oracle may transmit the aggregated data message to a participant node of a distributed ledger network. A smart contract stored on a blockchain may verify the aggregated data. After receiving and verifying the aggregated data message the smart contract may execute to perform operations based on the aggregated data message.

Abstract: Example embodiments of the present invention comprise an analyte sensing patch, comprising a substrate, and a sensing agent disposed on the substrate such that analyte can encounter the sensing agent through a side of the patch disposed adjacent the skin of a subject but not through a side of the patch disposed away from the skin of the subject. Example embodiments of the present invention comprise an analyte sensing patch, comprising a substrate, a sensing material disposed on the substrate in a first region thereof, an adhesive disposed on the substrate in a second region thereof, wherein the second region surrounds the first region, wherein the sensing agent undergoes a change in a discernible characteristic responsive to encounter with a predetermined analyte.