Abstract: Systems and methods are described for distilling data. First data associated with a user may be received. The first data associated with the user may comprise an anonymized hash of an identifier associated with the user. A database may be determined to comprise a first record indicating the anonymized hash. The first record may comprise second data associated with the user. Based on the determining that the database comprises the first record, a second record may be generated. The second record may comprise the first data associated with the user, the second data associated with the user, and the anonymized hash. Based on the determining that the database comprises the first record, the example method may be stored to the database. These and other user and/or data distillation methods and systems are described herein.

Abstract: Systems and methods are described for distilling data. First data associated with a user may be received. The first data associated with the user may comprise an anonymized hash of an identifier associated with the user. A database may be determined to comprise a first record indicating the anonymized hash. The first record may comprise second data associated with the user. Based on the determining that the database comprises the first record, a second record may be generated. The second record may comprise the first data associated with the user, the second data associated with the user, and the anonymized hash. Based on the determining that the database comprises the first record, the example method may be stored to the database. These and other user and/or data distillation methods and systems are described herein.

Abstract: Systems and methods are described for distilling data. First data associated with a user may be received. The first data associated with the user may comprise an anonymized hash of an identifier associated with the user. A database may be determined to comprise a first record indicating the anonymized hash. The first record may comprise second data associated with the user. Based on the determining that the database comprises the first record, a second record may be generated. The second record may comprise the first data associated with the user, the second data associated with the user, and the anonymized hash. Based on the determining that the database comprises the first record, the example method may be stored to the database. These and other user and/or data distillation methods and systems are described herein.

Abstract: Systems and methods are described for distilling data. First data associated with a user may be received. The first data associated with the user may comprise an anonymized hash of an identifier associated with the user. A database may be determined to comprise a first record indicating the anonymized hash. The first record may comprise second data associated with the user. Based on the determining that the database comprises the first record, a second record may be generated. The second record may comprise the first data associated with the user, the second data associated with the user, and the anonymized hash. Based on the determining that the database comprises the first record, the example method may be stored to the database. These and other user and/or data distillation methods and systems are described herein.

Abstract: Systems and methods are described for a reputation-based consensus protocol. A reputation score of a first node of a plurality of nodes may be determined. A distributed ledger record associated with a second node of the plurality of nodes may be received. The distributed ledger record may be stored to a distributed ledger based on the first node validating the distributed ledger record and based on the reputation score.

Abstract: Systems and methods are described for a reputation-based consensus protocol. A reputation score of a first node of a plurality of nodes may be determined. A distributed ledger record associated with a second node of the plurality of nodes may be received. The distributed ledger record may be stored to a distributed ledger based on the first node validating the distributed ledger record and based on the reputation score.

Abstract: Systems and methods are described for distilling data. First data associated with a user may be received. The first data associated with the user may comprise an anonymized hash of an identifier associated with the user. A database may be determined to comprise a first record indicating the anonymized hash. The first record may comprise second data associated with the user. Based on the determining that the database comprises the first record, a second record may be generated. The second record may comprise the first data associated with the user, the second data associated with the user, and the anonymized hash. Based on the determining that the database comprises the first record, the example method may be stored to the database. These and other user and/or data distillation methods and systems are described herein.

Abstract: Systems and methods are described for a reputation-based consensus protocol. A reputation score of a first node of a plurality of nodes may be determined. A distributed ledger record associated with a second node of the plurality of nodes may be received. The distributed ledger record may be stored to a distributed ledger based on the first node validating the distributed ledger record and based on the reputation score.

Abstract: Systems and methods are described for distilling data. First data associated with a user may be received. The first data associated with the user may comprise an anonymized hash of an identifier associated with the user. A database may be determined to comprise a first record indicating the anonymized hash. The first record may comprise second data associated with the user. Based on the determining that the database comprises the first record, a second record may be generated. The second record may comprise the first data associated with the user, the second data associated with the user, and the anonymized hash. Based on the determining that the database comprises the first record, the example method may be stored to the database. These and other user and/or data distillation methods and systems are described herein.

Abstract: Systems and methods are described for a reputation-based consensus protocol. A reputation score of a first node of a plurality of nodes may be determined. A distributed ledger record associated with a second node of the plurality of nodes may be received. The distributed ledger record may be stored to a distributed ledger based on the first node validating the distributed ledger record and based on the reputation score.

Abstract: Systems and methods are described for a reputation-based consensus protocol. A reputation score of a first node of a plurality of nodes may be determined. A distributed ledger record associated with a second node of the plurality of nodes may be received. The distributed ledger record may be stored to a distributed ledger based on the first node validating the distributed ledger record and based on the reputation score.

Abstract: Systems and methods are described for distilling data. First data associated with a user may be received. The first data associated with the user may comprise an anonymized hash of an identifier associated with the user. A database may be determined to comprise a first record indicating the anonymized hash. The first record may comprise second data associated with the user. Based on the determining that the database comprises the first record, a second record may be generated. The second record may comprise the first data associated with the user, the second data associated with the user, and the anonymized hash. Based on the determining that the database comprises the first record, the example method may be stored to the database. These and other user and/or data distillation methods and systems are described herein.