research
∙
05/08/2023
Online Task Assignment with Controllable Processing Time
We study a new online assignment problem, called the Online Task Assignm...
share
research
∙
04/16/2023
Handling Heavy Occlusion in Dense Crowd Tracking by Focusing on the Heads
With the rapid development of deep learning, object detection and tracki...
research
∙
03/20/2023
FedMAE: Federated Self-Supervised Learning with One-Block Masked Auto-Encoder
Latest federated learning (FL) methods started to focus on how to use un...
research
∙
02/23/2023
FedIL: Federated Incremental Learning from Decentralized Unlabeled Data with Convergence Analysis
Most existing federated learning methods assume that clients have fully ...
research
∙
02/17/2023
Random Padding Data Augmentation
The convolutional neural network (CNN) learns the same object in differe...
research
∙
12/23/2022
Federated PCA on Grassmann Manifold for Anomaly Detection in IoT Networks
In the era of Internet of Things (IoT), network-wide anomaly detection i...
research
∙
10/26/2022
Hierarchical Federated Learning with Momentum Acceleration in Multi-Tier Networks
In this paper, we propose Hierarchical Federated Learning with Momentum ...
research
∙
08/31/2021
Fast Multi-label Learning
Embedding approaches have become one of the most pervasive techniques fo...
research
∙
03/15/2021
The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion
Deep learning techniques have made an increasing impact on the field of ...
research
∙
03/15/2021
Boosting ship detection in SAR images with complementary pretraining techniques
Deep learning methods have made significant progress in ship detection i...
research
∙
12/10/2020
DONE: Distributed Newton-type Method for Federated Edge Learning
There is growing interest in applying distributed machine learning to ed...
research
∙
09/18/2020
Federated Learning with Nesterov Accelerated Gradient Momentum Method
Federated learning (FL) is a fast-developing technique that allows multi...
research
∙
06/12/2020
Online Metric Learning for Multi-Label Classification
Existing research into online multi-label classification, such as online...
research
∙
05/03/2020
An Accurate Model for Predicting the (Graded) Effect of Context in Word Similarity Based on Bert
Natural Language Processing (NLP) has been widely used in the semantic a...
research
∙
10/29/2019
