In recent years, cooperative information estimation has witnessed significant development and important advancements. Ensuring the safeguarding of privacy becomes crucial, especially when dealing with unique or sensitive information in dispersed arrangements. Protecting individuals' privacy during data collection can be pursued through various avenues. Time division mining plays a critical role in analyzing sequential combination-based approaches, yet often lacks emphasis on the sequential component's importance for improved analysis and performance. Hence, this paper is to develop strategies that covertly decode universally shared sequential combination-based policies across all sharing instances.

Privacy Safeguarding, Dispersed Repositories, Time Division Mining, Sequential Combination-based Policies