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06/25/2023
Matching-based Hybrid Service Trading for Task Assignment over Dynamic Mobile Crowdsensing Networks
By opportunistically engaging mobile users (workers), mobile crowdsensin...
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10/10/2022
Seamless Service Provisioning for Mobile Crowdsensing: Towards Integrating Forward and Spot Trading Markets
The challenge of exchanging and processing of big data over Mobile Crowd...
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08/08/2022
Learning-Based Client Selection for Federated Learning Services Over Wireless Networks with Constrained Monetary Budgets
We investigate a data quality-aware dynamic client selection problem for...
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06/13/2022
Auction-Promoted Trading for Multiple Federated Learning Services in UAV-Aided Networks
Federated learning (FL) represents a promising distributed machine learn...
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06/09/2022
Long-Term or Temporary? Hybrid Worker Recruitment for Mobile Crowd Sensing and Computing
Mobile crowd sensing and computing (MCSC) enables heterogeneous users (w...
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06/04/2022
Hybrid Architectures for Distributed Machine Learning in Heterogeneous Wireless Networks
The ever-growing data privacy concerns have transformed machine learning...
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04/17/2020