WiMi Announces That It Is Working On The Federal Learning On Blockchain, Aiming To Address Two Core Challenges In The Current Data Science Field By Integrating Cutting-edge Advances With Blockchain Technology And Federated Learning

WiMi Hologram Cloud Inc. (NASDAQ:WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that it is working on the Federal Learning on Blockchain (FLoBC), aiming to address two core challenges in the current data science field by integrating cutting-edge advances with blockchain technology and federated learning. The two challenges are data privacy protection and efficient training of large-scale machine learning models.

Federated learning is a distributed machine-learning approach that allows models to be trained collaboratively without directly exchanging or centralizing raw data. This mechanism effectively protects user privacy by performing local model training on each participating node (e.g., mobile devices, enterprise servers, etc.) and sharing only updates to model parameters rather than raw data. However, the traditional federated learning framework faces problems such as inefficient communication and slow model convergence when facing large-scale, decentralized datasets, which is the key breakthrough direction of the blockchain-based federated learning framework researched by WiMi.