11 citations · 29 across the 17 of their papers we have counts for
5 papers · 1 filter
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…
On Distributed Adaptive Optimization with Gradient Compression
Xiaoyun Li, Belhal Karimi, Ping Li
We study COMP-AMS, a distributed optimization framework based on gradient averaging and adaptive AMSGrad algorithm. Gradient compression with error feedback is applied to reduce th…
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…