Prof. ZHENG Yifeng and his research team have been honored with the prestigious Distinguished Paper Award at the 32nd ACM Conference on Computer and Communications Security (CCS) 2025.
The award-winning paper, titled "Harnessing Sparsification in Federated Learning: A Secure, Efficient, and Differentially Private Realization," was co-authored by Prof. ZHENG, PhD student Mr. Shuangqing Xu, and a collaborator from the Harbin Institute of Technology (Shenzhen).
The team designed a novel system framework that achieves communication-efficient, secure, and differentially private federated learning. This was accomplished through a delicate integration of insights from machine learning, lightweight cryptography, differential privacy, and data encoding. The research is expected to significantly advance secure and privacy-preserving collaborative analytics for the big data era.
About ACM CCS:
The ACM Conference on Computer and Communications Security (CCS) is a premier international forum for information security researchers, practitioners, developers, and users. A flagship event in the field, it is globally recognized as one of the most competitive and authoritative cybersecurity conferences, with this year's acceptance rate at just 13.87%. It holds a Tier A ranking—the highest classification by the China Computer Federation (CCF).
