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WiMi Announced a Secure and Trusted Collaborative Learning Based on Blockchain for IoT
BEIJING, Aug. 6, 2024 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR")
About this update from Wimi Hologram Cloud Inc.
[{"type":"text","content":"BEIJING, Aug. 6, 2024 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) (\"WiMi\" or the \"Company\"), a leading global Hologram Augmented Reality (\"AR\") Technology provider, today announced a 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.\n\nHomomorphic 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. The differential privacy technique, on the other hand, further strengthens privacy by adding random noise to the dataset to ensure that even with an external query, no information about any particular individual can be accurately inferred. Combining homomorphic encryption and differential privacy, the TrusCL framework achieves a balance between privacy protection and model learning efficiency, which ensures the quality of model training and maintains the data privacy of the participants.\nWiMi also added another layer of security by introducing blockchain technology into the TrusCL framework. All 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. This transparency and traceability effectively inhibit dishonest behavior, and any attempts to manipulate data or computation results will be promptly detected and blocked. The blockchain's smart contracts also automatically enforce the terms of the agreement, ensuring that the participants' computational behavior conforms to predefined rules, thus promoting a fair, transparent and trustworthy collaborative environment.\nFor model demanders, the blockchain-based IoT secure and trustworthy collaborative learning framework provides a secure and efficient platform that enables them to use sensitive data t...