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General Federated Class-Incremental Learning With Lightweight Generative Replay

IEEE internet of things journal, 2024-10, Vol.11 (20), p.33927-33939

2024

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Knowledge Distillation and Training Balance for Heterogeneous Decentralized Multi-Modal Learning Over Wireless Networks

IEEE transactions on mobile computing, 2024-10, Vol.23 (10), p.9629-9644

2024

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Knowledge Transfer for Body Sensor Networks: Characterization and Resistance of Negative Transfer in Overconstrained Environments

IEEE internet of things journal, 2024-10, Vol.11 (19), p.31959-31973

2024

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FedCache: A Knowledge Cache-Driven Federated Learning Architecture for Personalized Edge Intelligence

IEEE transactions on mobile computing, 2024-10, Vol.23 (10), p.9368-9382

2024

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Cooperative Knowledge-Distillation-Based Tiny DNN for UAV-Assisted Mobile-Edge Network

IEEE internet of things journal, 2024-09, Vol.11 (18), p.30204-30216

2024

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Uncertainty-Aware Topological Persistence Guided Knowledge Distillation on Wearable Sensor Data

IEEE internet of things journal, 2024-09, Vol.11 (18), p.30413-30429

2024

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BadCleaner: Defending Backdoor Attacks in Federated Learning via Attention-Based Multi-Teacher Distillation

IEEE transactions on dependable and secure computing, 2024-09, Vol.21 (5), p.4559-4573

2024

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PanDa: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation

IEEE transactions on knowledge and data engineering, 2024-09, Vol.36 (9), p.4835-4848

2024

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A Teacher-Free Graph Knowledge Distillation Framework With Dual Self-Distillation

IEEE transactions on knowledge and data engineering, 2024-09, Vol.36 (9), p.4375-4385

2024

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Task-Oriented Multi-User Semantic Communication With Lightweight Semantic Encoder and Fast Training for Resource-Constrained Terminal Devices

IEEE wireless communications letters, 2024-09, Vol.13 (9), p.2427-2431

2024

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A Verifiable and Privacy-Preserving Federated Learning Training Framework

IEEE transactions on dependable and secure computing, 2024-09, Vol.21 (5), p.5046-5058

2024

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Online Knowledge Distillation for Machine Health Prognosis Considering Edge Deployment

IEEE internet of things journal, 2024-08, Vol.11 (16), p.27828-27839

2024

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STIDNet: Identity-Aware Face Forgery Detection With Spatiotemporal Knowledge Distillation

IEEE transactions on computational social systems, 2024-08, Vol.11 (4), p.5354-5366

2024

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Enhanced Multi-Scale Features Mutual Mapping Fusion Based on Reverse Knowledge Distillation for Industrial Anomaly Detection and Localization

IEEE transactions on big data, 2024-08, Vol.10 (4), p.498-513

2024

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Partial Label Feature Selection: An Adaptive Approach

IEEE transactions on knowledge and data engineering, 2024-08, Vol.36 (8), p.4178-4191

2024

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Federated Continual Learning via Knowledge Fusion: A Survey

IEEE transactions on knowledge and data engineering, 2024-08, Vol.36 (8), p.3832-3850

2024

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MC-SQ and MC-MQ: Ensembles for Multi-Class Quantification

IEEE transactions on knowledge and data engineering, 2024-08, Vol.36 (8), p.4007-4019

2024

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Natural Language Processing Applied to Forensics Information Extraction With Transformers and Graph Visualization

IEEE transactions on computational social systems, 2024-08, Vol.11 (4), p.4727-4743

2024

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A Robust Heterogeneous Offloading Setup Using Adversarial Training

IEEE transactions on mobile computing, 2024-07, Vol.23 (7), p.7927-7938

2024

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Unifying Large Language Models and Knowledge Graphs: A Roadmap

IEEE transactions on knowledge and data engineering, 2024-07, Vol.36 (7), p.3580-3599

2024

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A Federated Learning Framework for Cloud-Edge Collaborative Fault Diagnosis of Wind Turbines

IEEE internet of things journal, 2024-07, Vol.11 (13), p.23170-23185

2024

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Exploring Generalizable Distillation for Efficient Medical Image Segmentation

IEEE journal of biomedical and health informatics, 2024-07, Vol.28 (7), p.4170-4183

2024

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Give us the Facts: Enhancing Large Language Models With Knowledge Graphs for Fact-Aware Language Modeling

IEEE transactions on knowledge and data engineering, 2024-07, Vol.36 (7), p.3091-3110

2024

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Zero-Shot Cross-Lingual Knowledge Transfer in VQA via Multimodal Distillation

IEEE transactions on computational social systems, 2024-06, p.1-11

2024

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Cross-Domain Recommendation via Progressive Structural Alignment

IEEE transactions on knowledge and data engineering, 2024-06, Vol.36 (6), p.2401-2415

2024

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General Federated Class-Incremental Learning With Lightweight Generative Replay

Knowledge Distillation and Training Balance for Heterogeneous Decentralized Multi-Modal Learning Over Wireless Networks

Knowledge Transfer for Body Sensor Networks: Characterization and Resistance of Negative Transfer in Overconstrained Environments

FedCache: A Knowledge Cache-Driven Federated Learning Architecture for Personalized Edge Intelligence

Cooperative Knowledge-Distillation-Based Tiny DNN for UAV-Assisted Mobile-Edge Network

Uncertainty-Aware Topological Persistence Guided Knowledge Distillation on Wearable Sensor Data

BadCleaner: Defending Backdoor Attacks in Federated Learning via Attention-Based Multi-Teacher Distillation

PanDa: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation

A Teacher-Free Graph Knowledge Distillation Framework With Dual Self-Distillation

Task-Oriented Multi-User Semantic Communication With Lightweight Semantic Encoder and Fast Training for Resource-Constrained Terminal Devices

A Verifiable and Privacy-Preserving Federated Learning Training Framework

Online Knowledge Distillation for Machine Health Prognosis Considering Edge Deployment

STIDNet: Identity-Aware Face Forgery Detection With Spatiotemporal Knowledge Distillation

Enhanced Multi-Scale Features Mutual Mapping Fusion Based on Reverse Knowledge Distillation for Industrial Anomaly Detection and Localization

Partial Label Feature Selection: An Adaptive Approach

Federated Continual Learning via Knowledge Fusion: A Survey

MC-SQ and MC-MQ: Ensembles for Multi-Class Quantification

Natural Language Processing Applied to Forensics Information Extraction With Transformers and Graph Visualization

A Robust Heterogeneous Offloading Setup Using Adversarial Training

Unifying Large Language Models and Knowledge Graphs: A Roadmap

A Federated Learning Framework for Cloud-Edge Collaborative Fault Diagnosis of Wind Turbines

Exploring Generalizable Distillation for Efficient Medical Image Segmentation

Give us the Facts: Enhancing Large Language Models With Knowledge Graphs for Fact-Aware Language Modeling

Zero-Shot Cross-Lingual Knowledge Transfer in VQA via Multimodal Distillation

Cross-Domain Recommendation via Progressive Structural Alignment

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