research
∙
05/05/2022
Communication-Efficient Adaptive Federated Learning
Federated learning is a machine learning training paradigm that enables ...
share
research
∙
11/01/2021
Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization
Due to the explosion in the size of the training datasets, distributed l...
research
∙
04/14/2021
K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce
Existing pre-trained language models (PLMs) have demonstrated the effect...
research
∙
02/10/2021
D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention Mechanism
Coronavirus Disease 2019 (COVID-19) has caused great casualties and beco...
research
∙
10/31/2018
When Not to Classify: Detection of Reverse Engineering Attacks on DNN Image Classifiers
This paper addresses detection of a reverse engineering (RE) attack targ...
research
∙
09/27/2018
3D Face Synthesis Driven by Personality Impression
Synthesizing 3D faces that give certain personality impressions is commo...
research
∙
05/17/2017
Scheduling Distributed Resources in Heterogeneous Private Clouds
We first consider the static problem of allocating resources to ( i.e. ,...
research
∙
05/17/2017