WiMi Announced a Federated Learning Framework Based on Layered and Sharded Blockchain Technology

Core Insights - WiMi Hologram Cloud Inc. has introduced a federated learning framework utilizing layered and sharded blockchain technology to enhance data collaboration efficiency and security [1][6] Group 1: Federated Learning Framework - The framework optimizes information interaction and processing efficiency by dividing the IoT network into a multi-layer structure with multiple shards, reducing global communication costs [2][5] - Each shard can execute local training tasks independently and in parallel, which accelerates the overall learning process while ensuring data security and privacy [2][4] Group 2: Security and Data Integrity - A highly adaptive consensus algorithm has been developed to identify and reject abnormal models, ensuring the accuracy and reliability of learning results [3] - The use of encryption and distributed ledger technology protects data during transmission and storage, preventing data leakage and tampering [4] Group 3: Scalability and Application Prospects - The sharding and parallel processing mechanism improves computational efficiency and reduces latency, making it suitable for real-time learning scenarios in large-scale IoT devices [5] - The federated learning framework is expected to promote digital transformation across various industries, including smart homes, smart cities, and Industry 4.0, indicating broad application prospects [6]