Xinlei Yu

Orcid: 0000-0003-3404-5373

According to our database1, Xinlei Yu authored at least 22 papers between 2017 and 2025.

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Bibliography

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

ICHPro: Intracerebral Hemorrhage Prognosis Classification via Joint-Attention Fusion-Based 3D Cross-Modal Network.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

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

Addressing Catastrophic Forgetting in Federated Learning on Resource-Constrained Devices: A Feature Replay Approach.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

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

Classifier Reuse-Based Contrastive Knowledge Distillation.
Proceedings of the IEEE International Conference on Edge Computing and 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

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
Life History Recorded in the Vagino-cervical Microbiome Along with Multi-omes.
Genom. Proteom. Bioinform., 2022

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

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

2020
The Joint and Product Meta Distributions of the SIR and Their Applications to Secrecy and Cooperation.
IEEE Trans. Wirel. Commun., 2020

Stochastic geometry based analysis for heterogeneous networks: a perspective on meta distribution.
Sci. China Inf. Sci., 2020

2019
SIR Meta Distribution for Spatiotemporal Cooperation in Poisson Cellular Networks.
IEEE Access, 2019

2018
Coherent Joint Transmission in Downlink Heterogeneous Cellular Networks.
IEEE Wirel. Commun. Lett., 2018

The SIR Meta Distribution in Poisson Cellular Networks With Base Station Cooperation.
IEEE Trans. Commun., 2018

SIR Meta Distribution in Physical Layer Security with Interference Correlation.
Proceedings of the IEEE Global Communications Conference, 2018

2017
Energy Efficiency Analysis of Heterogeneous Cellular Networks With Extra Cell Range Expansion.
IEEE Access, 2017

Practical loss inference in uncertain networks.
Proceedings of the 2017 IEEE Symposium on Computers and Communications, 2017


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