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A Crowdsourcing Framework for On-Device Federated Learning

IEEE transactions on wireless communications, 2020-05, Vol.19 (5), p.3241-3256

2020

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Intelligent Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond: A Deep Reinforcement Learning Based Approach

IEEE transactions on wireless communications, 2021-07, Vol.20 (7), p.4585-4600

2021

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Energy-Aware Resource Management for Federated Learning in Multi-Access Edge Computing Systems

IEEE access, 2021, Vol.9, p.34938-34950

2021

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Contract-Based Scheduling of URLLC Packets in Incumbent EMBB Traffic

IEEE access, 2020, Vol.8, p.167516-167526

2020

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Joint Radio Resource Allocation and Content Caching in Heterogeneous Virtualized Wireless Networks

IEEE access, 2020, Vol.8, p.36764-36775

2020

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Towards Coexistence of Cellular and WiFi Networks in Unlicensed Spectrum: A Neural Networks Based Approach

IEEE access, 2019, Vol.7, p.110023-110034

2019

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UAV-Assisted Multi-Access Edge Computing System: An Energy-Efficient Resource Management Framework

2020 International Conference on Information Networking (ICOIN), 2020, p.214-219

2020

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Energy-Efficient Resource Management in UAV-Assisted Mobile Edge Computing

IEEE communications letters, 2021-01, Vol.25 (1), p.249-253

2021

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Strategic Coalition for Data Pricing in IoT Data Markets

IEEE internet of things journal, 2024-02, Vol.11 (4), p.6454-6468

2024

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A Contribution-Based Device Selection Scheme in Federated Learning

IEEE communications letters, 2022-09, Vol.26 (9), p.2057-2061

2022

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An Incentive Mechanism for Federated Learning in Wireless Cellular Networks: An Auction Approach

IEEE transactions on wireless communications, 2021-08, Vol.20 (8), p.4874-4887

2021

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Greedy Shapley Client Selection for Communication-Efficient Federated Learning

IEEE networking letters, 2024-06, Vol.6 (2), p.134-138

2024

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Scheduling Policy for Value-of-Information (VoI) in Trajectory Estimation for Digital Twins

IEEE communications letters, 2023-06, Vol.27 (6), p.1654-1658

2023

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Provenance-enabled packet path tracing in the RPL-based internet of things

Computer networks (Amsterdam, Netherlands : 1999), 2020-05, Vol.173, p.107189, Article 107189

2020

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Federated Learning with NOMA Assisted by Multiple Intelligent Reflecting Surfaces: Latency Minimizing Optimization and Auction

IEEE transactions on vehicular technology, 2023-09, Vol.72 (9), p.1-16

2023

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Semi-Private Computation of Data Similarity with Applications to Data Valuation and Pricing

IEEE transactions on information forensics and security, 2023-01, Vol.18, p.1-1

2023

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Ruin Theory for Energy-Efficient Resource Allocation in UAV-Assisted Cellular Networks

IEEE transactions on communications, 2021-06, Vol.69 (6), p.3943-3956

2021

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Self-Organizing Democratized Learning: Toward Large-Scale Distributed Learning Systems

IEEE transaction on neural networks and learning systems, 2023-12, Vol.34 (12), p.10698-10710

2023

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Value-Based Reinforcement Learning for Digital Twins in Cloud Computing

ICC 2024 - IEEE International Conference on Communications, 2024, p.1413-1418

2024

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Latency-Sensitive Service Delivery With UAV-Assisted 5G Networks

IEEE wireless communications letters, 2021-07, Vol.10 (7), p.1518-1522

2021

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Ruin Theory for Dynamic Spectrum Allocation in LTE-U Networks

IEEE communications letters, 2019-02, Vol.23 (2), p.366-369

2019

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Edge-Assisted Democratized Learning Toward Federated Analytics

IEEE internet of things journal, 2022-01, Vol.9 (1), p.572-588

2022

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Batch Selection and Communication for Active Learning with Edge Labeling

2024 IEEE International Conference on Communications Workshops (ICC Workshops), 2024, p.1292-1297

2024

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A Chance Constrained Based Formulation for Dynamic Multiplexing of eMBB-URLLC Traffics in 5G New Radio

2019 International Conference on Information Networking (ICOIN), 2019, p.108-113

2019

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Incentivize to Build: A Crowdsourcing Framework for Federated Learning

2019 IEEE Global Communications Conference (GLOBECOM), 2019, p.1-6

2019

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A Crowdsourcing Framework for On-Device Federated Learning

Intelligent Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond: A Deep Reinforcement Learning Based Approach

Energy-Aware Resource Management for Federated Learning in Multi-Access Edge Computing Systems

Contract-Based Scheduling of URLLC Packets in Incumbent EMBB Traffic

Joint Radio Resource Allocation and Content Caching in Heterogeneous Virtualized Wireless Networks

Towards Coexistence of Cellular and WiFi Networks in Unlicensed Spectrum: A Neural Networks Based Approach

UAV-Assisted Multi-Access Edge Computing System: An Energy-Efficient Resource Management Framework

Energy-Efficient Resource Management in UAV-Assisted Mobile Edge Computing

Strategic Coalition for Data Pricing in IoT Data Markets

A Contribution-Based Device Selection Scheme in Federated Learning

An Incentive Mechanism for Federated Learning in Wireless Cellular Networks: An Auction Approach

Greedy Shapley Client Selection for Communication-Efficient Federated Learning

Scheduling Policy for Value-of-Information (VoI) in Trajectory Estimation for Digital Twins

Provenance-enabled packet path tracing in the RPL-based internet of things

Federated Learning with NOMA Assisted by Multiple Intelligent Reflecting Surfaces: Latency Minimizing Optimization and Auction

Semi-Private Computation of Data Similarity with Applications to Data Valuation and Pricing

Ruin Theory for Energy-Efficient Resource Allocation in UAV-Assisted Cellular Networks

Self-Organizing Democratized Learning: Toward Large-Scale Distributed Learning Systems

Value-Based Reinforcement Learning for Digital Twins in Cloud Computing

Latency-Sensitive Service Delivery With UAV-Assisted 5G Networks

Ruin Theory for Dynamic Spectrum Allocation in LTE-U Networks

Edge-Assisted Democratized Learning Toward Federated Analytics

Batch Selection and Communication for Active Learning with Edge Labeling

A Chance Constrained Based Formulation for Dynamic Multiplexing of eMBB-URLLC Traffics in 5G New Radio

Incentivize to Build: A Crowdsourcing Framework for Federated Learning

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