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Federated Transfer-Ordered-Personalized Learning for Driver Monitoring Application

IEEE internet of things journal, 2023-10, Vol.10 (20), p.1-1

2023

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IEEE_Xplore

Correction to "Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices"

IEEE internet of things journal, 2023-01, Vol.10 (1), p.973-973

2023

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IEEE_Xplore

Public and Private Blockchain Infusion: A Novel Approach to Federated Learning

IEEE internet of things journal, 2024-05, Vol.11 (10), p.17525-17537

2024

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IEEE_Xplore

Client Scheduling for Multiserver Federated Learning in Industrial IoT With Unreliable Communications

IEEE internet of things journal, 2024-05, Vol.11 (9), p.16478-16490

2024

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IEEE_Xplore

Resource-Efficient Federated Learning and DAG Blockchain With Sharding in Digital-Twin-Driven Industrial IoT

IEEE internet of things journal, 2024-05, Vol.11 (10), p.17113-17127

2024

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IEEE_Xplore

Adaptive Incentive for Cross-Silo Federated Learning in IIoT: A Multiagent Reinforcement Learning Approach

IEEE internet of things journal, 2024-05, Vol.11 (9), p.15048-15058

2024

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IEEE_Xplore

Efficient Information Dissemination in Blockchain-Enabled Federated Learning for IoV

IEEE internet of things journal, 2024-05, Vol.11 (9), p.15310-15319

2024

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IEEE_Xplore

BCE-FL: A Secure and Privacy-Preserving Federated Learning System for Device Fault Diagnosis Under Non-IID Condition in IIoT

IEEE internet of things journal, 2024-04, Vol.11 (8), p.14241-14252

2024

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IEEE_Xplore

Delay and Energy-Efficient Asynchronous Federated Learning for Intrusion Detection in Heterogeneous Industrial Internet of Things

IEEE internet of things journal, 2024-04, Vol.11 (8), p.14739-14754

2024

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IEEE_Xplore

Are You Diligent, Inefficient, or Malicious? A Self-Safeguarding Incentive Mechanism for Large-Scale Federated Industrial Maintenance Based on Double-Layer Reinforcement Learning

IEEE internet of things journal, 2024, Vol.11 (11), p.19988-20001

2024

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IEEE_Xplore

Towards Efficient and Robust Federated Unlearning in IoT Networks

IEEE internet of things journal, 2024-03, p.1-1

2024

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IEEE_Xplore

Trust Management of Tiny Federated Learning in Internet of Unmanned Aerial Vehicles

IEEE internet of things journal, 2024-02, p.1-1

2024

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IEEE_Xplore

Toward Accurate Anomaly Detection in Industrial Internet of Things Using Hierarchical Federated Learning

IEEE internet of things journal, 2022-05, Vol.9 (10), p.7110-7119

2022

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IEEE_Xplore

Adaptive Personalized Federated Learning With One-Shot Screening

IEEE internet of things journal, 2024-05, Vol.11 (9), p.15375-15385

2024

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IEEE_Xplore

Handling Data Heterogeneity for IoT Devices in Federated Learning: A Knowledge Fusion Approach

IEEE internet of things journal, 2024-03, Vol.11 (5), p.1-1

2024

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IEEE_Xplore

FLOW: A Robust Federated Learning Framework to Defend Against Model Poisoning Attacks in IoT

IEEE internet of things journal, 2024-05, Vol.11 (9), p.15075-15086

2024

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IEEE_Xplore

Blockchain-Based Gradient Inversion and Poisoning Defense for Federated Learning

IEEE internet of things journal, 2024-05, Vol.11 (9), p.15667-15681

2024

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IEEE_Xplore

SPEFL: Efficient Security and Privacy-Enhanced Federated Learning Against Poisoning Attacks

IEEE internet of things journal, 2024-04, Vol.11 (8), p.13437-13451

2024

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IEEE_Xplore

Collaborative Learning of Different Types of Healthcare Data From Heterogeneous IoT Devices

IEEE internet of things journal, 2024-02, Vol.11 (4), p.5757-5769

2024

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IEEE_Xplore

Hetero-FedIoT: A Rule-Based Interworking Architecture for Heterogeneous Federated IoT Networks

IEEE internet of things journal, 2024-02, Vol.11 (4), p.5920-5938

2024

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A Concurrent Federated Reinforcement Learning for IoT Resources Allocation With Local Differential Privacy

IEEE internet of things journal, 2024-02, Vol.11 (4), p.6537-6550

2024

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IEEE_Xplore

Collusive Backdoor Attacks in Federated Learning Frameworks for IoT Systems

IEEE internet of things journal, 2024, Vol.11 (11), p.19694-19707

2024

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IEEE_Xplore

Clustered Federated Learning With Adaptive Local Differential Privacy on Heterogeneous IoT Data

IEEE internet of things journal, 2024-01, Vol.11 (1), p.1-1

2024

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IEEE_Xplore

Asynchronous Federated and Reinforcement Learning for Mobility-Aware Edge Caching in IoV

IEEE internet of things journal, 2024-05, Vol.11 (9), p.15334-15347

2024

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IEEE_Xplore

Multi-agent Federated Reinforcement Learning for Resource Allocation in UAV-enabled Internet of Medical Things Networks

IEEE internet of things journal, 2023-06, p.1-1

2023

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IEEE_Xplore

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Federated Transfer-Ordered-Personalized Learning for Driver Monitoring Application

Correction to "Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices"

Public and Private Blockchain Infusion: A Novel Approach to Federated Learning

Client Scheduling for Multiserver Federated Learning in Industrial IoT With Unreliable Communications

Resource-Efficient Federated Learning and DAG Blockchain With Sharding in Digital-Twin-Driven Industrial IoT

Adaptive Incentive for Cross-Silo Federated Learning in IIoT: A Multiagent Reinforcement Learning Approach

Efficient Information Dissemination in Blockchain-Enabled Federated Learning for IoV

BCE-FL: A Secure and Privacy-Preserving Federated Learning System for Device Fault Diagnosis Under Non-IID Condition in IIoT

Delay and Energy-Efficient Asynchronous Federated Learning for Intrusion Detection in Heterogeneous Industrial Internet of Things

Are You Diligent, Inefficient, or Malicious? A Self-Safeguarding Incentive Mechanism for Large-Scale Federated Industrial Maintenance Based on Double-Layer Reinforcement Learning

Towards Efficient and Robust Federated Unlearning in IoT Networks

Trust Management of Tiny Federated Learning in Internet of Unmanned Aerial Vehicles

Toward Accurate Anomaly Detection in Industrial Internet of Things Using Hierarchical Federated Learning

Adaptive Personalized Federated Learning With One-Shot Screening

Handling Data Heterogeneity for IoT Devices in Federated Learning: A Knowledge Fusion Approach

FLOW: A Robust Federated Learning Framework to Defend Against Model Poisoning Attacks in IoT

Blockchain-Based Gradient Inversion and Poisoning Defense for Federated Learning

SPEFL: Efficient Security and Privacy-Enhanced Federated Learning Against Poisoning Attacks

Collaborative Learning of Different Types of Healthcare Data From Heterogeneous IoT Devices

Hetero-FedIoT: A Rule-Based Interworking Architecture for Heterogeneous Federated IoT Networks

A Concurrent Federated Reinforcement Learning for IoT Resources Allocation With Local Differential Privacy

Collusive Backdoor Attacks in Federated Learning Frameworks for IoT Systems

Clustered Federated Learning With Adaptive Local Differential Privacy on Heterogeneous IoT Data

Asynchronous Federated and Reinforcement Learning for Mobility-Aware Edge Caching in IoV

Multi-agent Federated Reinforcement Learning for Resource Allocation in UAV-enabled Internet of Medical Things Networks

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