Chen Zhao

Orcid: 0000-0001-8614-5080

According to our database1, Chen Zhao authored at least 25 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
FedFM: A federated few-shot learning method by comparison network and model calibration.
Knowl. Based Syst., 2025

A Static Analysis Framework for Investigating Tainted Data Sources in Software Systems.
Int. J. Softw. Eng. Knowl. Eng., 2025

DDPG-AdaptConfig: A deep reinforcement learning framework for adaptive device selection and training configuration in heterogeneity federated learning.
Future Gener. Comput. Syst., 2025

2024
Toward Industrial Densely Packed Object Detection: A Federated Semi-Supervised Learning Approach.
IEEE Internet Things J., November, 2024

DUDS: Diversity-aware unbiased device selection for federated learning on Non-IID and unbalanced data.
J. Syst. Archit., 2024

Adaptive Clipping and Distillation Enabled Federated Unlearning.
Proceedings of the IEEE International Conference on Web Services, 2024

FedIDE: Federated Semi-Supervised Learning With Instance Discrimination & LocalEMA.
Proceedings of the IEEE International Conference on Communications, 2024

Adaptive Backdoor Attacks Against Dataset Distillation for Federated Learning.
Proceedings of the IEEE International Conference on Communications, 2024

2023
IDDANet: An Input-Driven Dynamic Adaptive Network ensemble method for edge intelligence.
Future Gener. Comput. Syst., November, 2023

FedUSC: Collaborative Unsupervised Representation Learning From Decentralized Data for Internet of Things.
IEEE Internet Things J., August, 2023

FedSup: A communication-efficient federated learning fatigue driving behaviors supervision approach.
Future Gener. Comput. Syst., 2023

Precision-Mixed and Weight-Average Ensemble: Online Knowledge Distillation for Quantization Convolutional Neural Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

FedSC: Compatible Gradient Compression for Communication-Efficient Federated Learning.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

2022
FedDQ: A communication-efficient federated learning approach for Internet of Vehicles.
J. Syst. Archit., 2022

AFL: An Adaptively Federated Multitask Learning for Model Sharing in Industrial IoT.
IEEE Internet Things J., 2022

FedSeC: a Robust Differential Private Federated Learning Framework in Heterogeneous Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

FedGAN: A Federated Semi-supervised Learning from Non-IID Data.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2022

CFedPer: Clustered Federated Learning with Two-Stages Optimization for Personalization.
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

FedHF: A High Fairness Federated Learning Algorithm Based on Deconfliction in Heterogeneous Networks.
Proceedings of the Service-Oriented Computing - 20th International Conference, 2022

FedCL: An Efficient Federated Unsupervised Learning for Model Sharing in IoT.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2022

2021
FedSup: A Communication-Efficient Federated Learning Fatigue Driving Behaviors Supervision Framework.
CoRR, 2021

Select-Storage: A New Oracle Design Pattern on Blockchain.
Proceedings of the 20th IEEE International Conference on Trust, 2021

FedIM: An Anti-attack Federated Learning Based on Agent Importance Aggregation.
Proceedings of the 20th IEEE International Conference on Trust, 2021

A double-phase search algorithm for sub-optimal path finding.
Proceedings of the ICIAI 2021: 2021 the 5th International Conference on Innovation in Artificial Intelligence, 2021

EdgeSP: Scalable Multi-device Parallel DNN Inference on Heterogeneous Edge Clusters.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2021


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