32 citations · 80 across the 15 of their papers we have counts for
5 papers · 1 filter
FedSKETCH: Communication-Efficient and Private Federated Learning via Sketching
Farzin Haddadpour, Belhal Karimi, Ping Li +1
Communication complexity and privacy are the two key challenges in Federated Learning where the goal is to perform a distributed learning through a large volume of devices. In this…
A High Probability Analysis of Adaptive SGD with Momentum
Xiaoyu Li, Francesco Orabona
Stochastic Gradient Descent (SGD) and its variants are the most used algorithms in machine learning applications. In particular, SGD with adaptive learning rates and momentum is th…
IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation
Xiaoyun Li, Chengxi Wu, Ping Li
Feature selection is an important tool to deal with high dimensional data. In unsupervised case, many popular algorithms aim at maintaining the structure of the original data. In t…
Randomized Kernel Multi-view Discriminant Analysis
Xiaoyun Li, Jie Gui, Ping Li
In many artificial intelligence and computer vision systems, the same object can be observed at distinct viewpoints or by diverse sensors, which raises the challenges for recognizi…
A Second look at Exponential and Cosine Step Sizes: Simplicity, Adaptivity, and Performance
Xiaoyu Li, Zhenxun Zhuang, Francesco Orabona
Stochastic Gradient Descent (SGD) is a popular tool in training large-scale machine learning models. Its performance, however, is highly variable, depending crucially on the choice…