Systems and methods for web 3.0 and beyond-enabled multi-system, multi-client, cyber-resilient data exchange platform leveraging permission blockchain, edge computing, and federated learning technology

A system comprising:

• at least one client;
• at least one device;
• a server;
• a network or system of networks;
• a cloud computing environment;
• an AI algorithm;
• an AI training model;
• an industry-agnostic set;
• a fabric network;
• a chain code;
• a node;
• a hash;
• a distributed ledger;
• a private channel;
• a smart contract;
• a consensus algorithm;
• a programming language;
• an application programming interface;
• a user interface;
• an edge device;
• a learning module;
• and
• a computation,
• wherein the system is configured to use encryption schemes to improve data security and chaincodes, which are executed in an enclave, with execution being protected from the operating system and the hypervisor;
• wherein the system is configured to optimize data privacy by creating fine-grained attribute-based access control (ABAC), user registration, and user management combined with pub/sub functionality;
• and
• wherein the system is configured to increase scalability by combining pub/sub functionality with a federated learning model.

A method comprising the steps of:

• utilizing encryption schemes with a system to improve data security and chaincodes, which are executed in an enclave, with execution being protected from the operating system and the hypervisor;
• optimizing data privacy of said system by creating fine-grained attribute-based access control (ABAC), user registration, and user management combined with pub/sub functionality;
• and
• increasing scalability of said system by combining pub/sub functionality with a federated learning model,
• wherein said system includes at least one client, at least one device, a server, a network or system of networks, a cloud computing environment, an AI algorithm, an AI training model, an industry-agnostic set, a fabric network, a chain code, a node, a hash, a distributed ledger, a private channel, a smart contract, a consensus algorithm, a programming language, an application programming interface, a user interface, an edge device, a learning module, and a computation.