$WiMi Hologram Cloud (WIMI.US)$ The blockchain-based trusted...

The blockchain-based trusted collaborative learning (TrusCL) framework for IoT which is a solution for the privacy-preserving and computational requirements of collaborative learning in AIoT environments.

The TrusCL framework is combined with Homomorphic Encryption (HE) and Differential Privacy (DP) techniques, both of which are significant in the field of data protection and privacy enhancement.

Homomorphic encryption allows direct computation on encrypted data without the need to decrypt it first, which means that the data can be processed in an encrypted state, thus preventing data leakage at the source.

This provides strong technical support for data privacy protection, allowing data owners to participate in the model training process while keeping data private.

ll key activities of collaborative learning, including model updates, data contribution proofs and computation processes, will be recorded on the blockchain in a tamper-proof manner. 

With the in-depth application and continuous optimization of this framework, data sharing and intelligent analysis in AIoT will be more secure and efficient in the future.