11 citations · 29 across the 17 of their papers we have counts for
17 papers
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…
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…
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…
-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy
Chenglin Fan, Ping Li, Xiaoyun Li
When designing clustering algorithms, the choice of initial centers is crucial for the quality of the learned clusters. In this paper, we develop a new initialization scheme, calle…
Variational Flow Graphical Model
Shaogang Ren, Belhal Karimi, Dingcheng Li +1
This paper introduces a novel approach to embed flow-based models with hierarchical structures. The proposed framework is named Variational Flow Graphical (VFG) Model. VFGs learn t…