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04/04/2023
FAST: Fidelity-Adjustable Semantic Transmission over Heterogeneous Wireless Networks
In this work, we investigate the challenging problem of on-demand semant...
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01/24/2023
Wise-IoU: Bounding Box Regression Loss with Dynamic Focusing Mechanism
The loss function for bounding box regression (BBR) is essential to obje...
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01/08/2023
AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices
In this work, we investigate the challenging problem of on-demand federa...
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09/28/2022
Visualizing the Scripts of Data Wrangling with SOMNUS
Data workers use various scripting languages for data transformation, su...
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06/15/2022
Blockchain-based Federated Learning for Industrial Metaverses: Incentive Scheme with Optimal AoI
The emerging industrial metaverses realize the mapping and expanding ope...
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11/11/2021
FedGreen: Federated Learning with Fine-Grained Gradient Compression for Green Mobile Edge Computing
Federated learning (FL) enables devices in mobile edge computing (MEC) t...
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11/01/2021
To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices
Federated learning (FL), an emerging distributed machine learning paradi...
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10/19/2021
FedParking: A Federated Learning based Parking Space Estimation with Parked Vehicle assisted Edge Computing
As a distributed learning approach, federated learning trains a shared l...
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10/31/2020
Evaluation of Inference Attack Models for Deep Learning on Medical Data
Deep learning has attracted broad interest in healthcare and medical com...
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01/14/2020
Differentially Private and Fair Classification via Calibrated Functional Mechanism
Machine learning is increasingly becoming a powerful tool to make decisi...
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06/14/2019