195 citations · 458 across the 33 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
math.ST2020★ 6 cited
On Statistical Efficiency in Learning
Jie Ding, Enmao Diao, Jiawei Zhou +1
A central issue of many statistical learning problems is to select an appropriate model from a set of candidate models. Large models tend to inflate the variance (or overfitting),…
cs.LG2020★ 195 cited
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
Enmao Diao, Jie Ding, Vahid Tarokh
Federated Learning (FL) is a method of training machine learning models on private data distributed over a large number of possibly heterogeneous clients such as mobile phones and…
cs.LG2020
Multimodal Controller for Generative Models
Enmao Diao, Jie Ding, Vahid Tarokh
Class-conditional generative models are crucial tools for data generation from user-specified class labels. Existing approaches for class-conditional generative models require nont…