research
∙
09/06/2023
EdgeFL: A Lightweight Decentralized Federated Learning Framework
Federated Learning (FL) has emerged as a promising approach for collabor...
share
research
∙
02/04/2022
5G Network on Wings: A Deep Reinforcement Learning Approach to UAV-based Integrated Access and Backhaul
Fast and reliable wireless communication has become a critical demand in...
research
∙
12/14/2021
Autonomous Navigation and Configuration of Integrated Access Backhauling for UAV Base Station Using Reinforcement Learning
Fast and reliable connectivity is essential to enhancing situational awa...
research
∙
06/20/2021
Context-Aware Legal Citation Recommendation using Deep Learning
Lawyers and judges spend a large amount of time researching the proper l...
research
∙
04/27/2021
One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning
Deep learning models in large-scale machine learning systems are often c...
research
∙
03/22/2021
Real-time End-to-End Federated Learning: An Automotive Case Study
With the development and the increasing interests in ML/DL fields, compa...
research
∙
02/17/2021
Label Leakage and Protection in Two-party Split Learning
In vertical federated learning, two-party split learning has become an i...
research
∙
01/27/2019
Fixup Initialization: Residual Learning Without Normalization
Normalization layers are a staple in state-of-the-art deep neural networ...
research
∙
11/10/2018
R-SPIDER: A Fast Riemannian Stochastic Optimization Algorithm with Curvature Independent Rate
We study smooth stochastic optimization problems on Riemannian manifolds...
research
∙
06/07/2018
Towards Riemannian Accelerated Gradient Methods
We propose a Riemannian version of Nesterov's Accelerated Gradient algor...
research
∙
04/20/2018
An Approximate Shading Model with Detail Decomposition for Object Relighting
We present an object relighting system that allows an artist to select a...
research
∙
10/25/2017
mixup: Beyond Empirical Risk Minimization
Large deep neural networks are powerful, but exhibit undesirable behavio...
research
∙
02/08/2017
Matrix Completion from O(n) Samples in Linear Time
We consider the problem of reconstructing a rank-k n × n matrix M from a...
research
∙
02/19/2016