Abstract: The present invention relates a method for high-performance traceability query oriented to multi-chain data association, comprising: identifying a target transaction needing the traceability query; searching out all corresponding target chains based on cross-chain transaction data association; making query requests parallelly; and executing the query among the target chains according to a key value of the target transaction and returning query results. The blockchain traceability query method proposed by the present invention is different from serialized block data query conducted in the chain-type structure, and the disclosed cross-chain query operation can be parallelly executed, leading to improved efficiency of traceability query. Opposite to the conventional blockchain where blocks are used as nodes of chains, the present invention directly uses sub blockchains as nodes of the SRB.

Abstract: The present invention relates to a lightweight data storage apparatus for graphic blockchains, at least comprising a common transaction construction module for a user to initiate new transactions and a network broadcast module for broadcasting the transactions, wherein the apparatus further comprises a combined-transaction constructing module and a transaction deleting module, wherein the combined-transaction constructing module serves to determine whether number of transactions initiated by an account satisfies a first predetermined condition, and if yes, execute a first lightening procedure on the transactions, and the transaction deleting module serves to execute a second lightening procedure on the transactions that have been processed by the first lightening procedure and now have validation references satisfying a second predetermined condition, after which the network broadcast module broadcasts the transactions obtained after the second lightening procedure.

Abstract: The present invention relates to a highly flexible, scalable multi-blockchain, hierarchical data-sharing and data-storing system, at least comprising a third-party blockchain system, a data-sharing blockchain system, and an application-layer client, wherein the data-sharing blockchain system performs data aggregation and hierarchical storage on shared data uploaded by the third-party blockchain system through accessing the data-sharing blockchain system, so as to allow the application-layer client to require the shared data from the data-sharing blockchain system. The disclosure herein creates a single reliable data-sharing blockchain apparatus based on blockchain systems, so as to facilitate aggregation of data coming from different blockchain systems, reduce node complexity and block data redundancy when data are acquired from multiple parties, and define different sharing rules for different data contents, thereby being adaptive to scenarios where data are shared among parties.

Abstract: The present invention relates to an implementation method for graphic-blockchain-orientated hybrid consensus, at least comprising: calling at least one module to generate a new data block and broadcast it; calling at least one module to check and validate the received new block based on predetermined rules; calling at least one module to generate a void block; and calling at least one module to update a committee member list. The existing graphic blockchain can only achieve probabilistic consensus, yet the present invention achieves deterministic consensus on graphic blockchain for the first time, thereby reaching consensus faster. The present invention decouples generation and consensus of blocks for the first time, so that the two parts can be designed separately in a modularized manner. The present invention provides the first totally decentralized hybrid consensus algorithm in the graphic blockchain. This is unachievable to many existing graphic blockchain such as IOTA and Obyte.

Abstract: The present invention relates a method and a system for cross-chain consensus oriented to federated learning, comprising: conducting intra-cluster single-chain federated learning and collecting local update information; sending updates after consensus to a second federation so as to execute cross-cluster gradient exchange; receiving a verification result of cross-cluster gradient update consensus fed back from the second federation; and conducting local model update based on the verification result. After implementation of the update consensus, the present invention provides rewards and punishments based on the contributions of the cluster representatives, thereby encouraging the cluster representatives in the computing nodes to act honestly, so that the participants can actively help the model update.

Abstract: The present invention relates a method for high-performance traceability query oriented to multi-chain data association, comprising: identifying a target transaction needing the traceability query; searching out all corresponding target chains based on cross-chain transaction data association; making query requests parallelly; and executing the query among the target chains according to a key value of the target transaction and returning query results. The blockchain traceability query method proposed by the present invention is different from serialized block data query conducted in the chain-type structure, and the disclosed cross-chain query operation can be parallelly executed, leading to improved efficiency of traceability query. Opposite to the conventional blockchain where blocks are used as nodes of chains, the present invention directly uses sub blockchains as nodes of the SRB.