most citedBreaking the Linear Error Barrier in Differentially Private Graph Distance Release

3 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ML2023

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…

cs.CR20231 cited

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…

stat.ML20221 cited

Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression

Xiaoyun Li, Ping Li

In federated learning (FL) systems, e.g., wireless networks, the communication cost between the clients and the central server can often be a bottleneck. To reduce the communicatio…

cs.DS20223 cited

Breaking the Linear Error Barrier in Differentially Private Graph Distance Release

Chenglin Fan, Ping Li, Xiaoyun Li

Releasing all pairwise shortest path (APSP) distances between vertices on general graphs under weight Differential Privacy (DP) is known as a challenging task. In the previous atte…

cs.IR2022

Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising

Weijie Zhao, Xuewu Jiao, Mingqing Hu +3

Click-Through Rate (CTR) prediction is a crucial component in the online advertising industry. In order to produce a personalized CTR prediction, an industry-level CTR prediction m…