3 citations · 9 across the 10 of their papers we have counts for
5 papers · 1 filter
Stochastic Controlled Averaging for Federated Learning with Communication Compression
Xinmeng Huang, Ping Li, Xiaoyun Li
Communication compression, a technique aiming to reduce the information volume to be transmitted over the air, has gained great interests in Federated Learning (FL) for the potenti…
Differentially Private One Permutation Hashing and Bin-wise Consistent Weighted Sampling
Xiaoyun Li, Ping Li
Minwise hashing (MinHash) is a standard algorithm widely used in the industry, for large-scale search and learning applications with the binary (0/1) Jaccard similarity. One common…
Differential Privacy with Random Projections and Sign Random Projections
Ping Li, Xiaoyun Li
In this paper, we develop a series of differential privacy (DP) algorithms from a family of random projections (RP) for general applications in machine learning, data mining, and i…
Building K-Anonymous User Cohorts with\\ Consecutive Consistent Weighted Sampling (CCWS)
Xinyi Zheng, Weijie Zhao, Xiaoyun Li +1
To retrieve personalized campaigns and creatives while protecting user privacy, digital advertising is shifting from member-based identity to cohort-based identity. Under such iden…
OPORP: One Permutation + One Random Projection
Ping Li, Xiaoyun Li
Consider two -dimensional data vectors (e.g., embeddings): . In many embedding-based retrieval (EBR) applications where the vectors are generated from trained models, $D=2…