research
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05/30/2022
PSNet: Fast Data Structuring for Hierarchical Deep Learning on Point Cloud
In order to retain more feature information of local areas on a point cl...
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03/29/2022
Self-Supervised Leaf Segmentation under Complex Lighting Conditions
As an essential prerequisite task in image-based plant phenotyping, leaf...
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11/09/2021
Reinforcement Learning for Security-Aware Computation Offloading in Satellite Networks
The rise of NewSpace provides a platform for small and medium businesses...
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09/14/2021
Variation-Incentive Loss Re-weighting for Regression Analysis on Biased Data
Both classification and regression tasks are susceptible to the biased d...
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02/02/2021
FedProf: Optimizing Federated Learning with Dynamic Data Profiling
Federated Learning (FL) has shown great potential as a privacy-preservin...
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11/03/2020
An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee
The issue of potential privacy leakage during centralized AI's model tra...
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07/28/2020
Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems
Mobile Edge Computing (MEC), which incorporates the Cloud, edge nodes an...
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10/03/2019
SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead
Federated learning (FL) has attracted increasing attention as a promisin...
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08/03/2019
Local Trend Inconsistency: A Prediction-driven Approach to Unsupervised Anomaly Detection in Multi-seasonal Time Series
On-line detection of anomalies in time series is a key technique in vari...
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02/15/2019
