research
∙
06/08/2023
Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates
Distributed and federated learning algorithms and techniques associated ...
share
research
∙
03/07/2023
Refined Pseudo labeling for Source-free Domain Adaptive Object Detection
Domain adaptive object detection (DAOD) assumes that both labeled source...
research
∙
03/07/2023
FIT: Frequency-based Image Translation for Domain Adaptive Object Detection
Domain adaptive object detection (DAOD) aims to adapt the detector from ...
research
∙
01/25/2023
Robot Subset Selection for Swarm Lifetime Maximization in Computation Offloading with Correlated Data Sources
Consider robot swarm wireless networks where mobile robots offload their...
research
∙
10/27/2022
Reconstruction of compressed spectral imaging based on global structure and spectral correlation
In this paper, a convolution sparse coding method based on global struct...
research
∙
05/28/2022
Uniform Convergence and Generalization for Nonconvex Stochastic Minimax Problems
This paper studies the uniform convergence and generalization bounds for...
research
∙
04/21/2022
Unseen Object Instance Segmentation with Fully Test-time RGB-D Embeddings Adaptation
Segmenting unseen objects is a crucial ability for the robot since it ma...
research
∙
08/21/2021
Correlation-Based Device Energy-Efficient Dynamic Multi-Task Offloading for Mobile Edge Computing
Task offloading to mobile edge computing (MEC) has emerged as a key tech...
research
∙
03/29/2021
The Complexity of Nonconvex-Strongly-Concave Minimax Optimization
This paper studies the complexity for finding approximate stationary poi...
research
∙
02/25/2020
