[FLock Research Team Has 6 Papers Accepted at CIKM 2026, Leading AI Medical Privacy Research Across 18 Solutions] Foresight News reports that Professor Zehua Cheng, Chief Scientist of FLock.io, along with the FLock Research Team, has had six papers accepted at CIKM 2026. Organized by ACM, a globally significant academic organization in the field of computing, CIKM is one of the top international academic conferences in information retrieval, knowledge management, and artificial intelligence. The six papers address core issues in current AI systems from various perspectives, including reducing large model training costs, improving the accuracy of complex reasoning, optimizing model collaboration, and preserving the AI training value of sensitive data while protecting it. One of the studies focuses on AI data privacy by desensitizing real data, making it safer for AI training. In tests involving real medical dialogues and public text datasets, AI trained on processed data achieved an accuracy in complex reasoning Q&A tasks that differed by less than 0.1% compared to the original data. This technology also outperformed 18 mainstream solutions in comparative testing.