Bingshuai Li

According to our database, Bingshuai Li authored at least 24 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MAP: Model Aggregation and Personalization in Federated Learning With Incomplete Classes.

Xin-Chun Li, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, Yang Yang, De-Chuan Zhan

IEEE Trans. Knowl. Data Eng., November, 2024

ODE: An Online Data Selection Framework for Federated Learning With Limited Storage.

Chen Gong, Zhenzhe Zheng, Yunfeng Shao, Bingshuai Li, Fan Wu, Guihai Chen

IEEE/ACM Trans. Netw., August, 2024

Lattice based distributed threshold additive homomorphic encryption with application in federated learning.

Haibo Tian, Yanchuan Wen, Fangguo Zhang, Yunfeng Shao, Bingshuai Li

Comput. Stand. Interfaces, January, 2024

Ents: An Efficient Three-party Training Framework for Decision Trees by Communication Optimization.

Guopeng Lin, Weili Han, Wenqiang Ruan, Ruisheng Zhou, Lushan Song, Bingshuai Li, Yunfeng Shao

CoRR, 2024

Nebula: An Edge-Cloud Collaborative Learning Framework for Dynamic Edge Environments.

Yan Zhuang, Zhenzhe Zheng, Yunfeng Shao, Bingshuai Li, Fan Wu, Guihai Chen

Proceedings of the 53rd International Conference on Parallel Processing, 2024

2023

Source-free and black-box domain adaptation via distributionally adversarial training.

Yucheng Shi, Kunhong Wu, Yahong Han, Yunfeng Shao, Bingshuai Li, Fei Wu

Pattern Recognit., November, 2023

Active and Compact Entropy Search for High-Dimensional Bayesian Optimization.

Run Li, Yucheng Shi, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li

IEEE Trans. Knowl. Data Eng., 2023

ECLM: Efficient Edge-Cloud Collaborative Learning with Continuous Environment Adaptation.

Yan Zhuang, Zhenzhe Zheng, Yunfeng Shao, Bingshuai Li, Fan Wu, Guihai Chen

CoRR, 2023

To Store or Not? Online Data Selection for Federated Learning with Limited Storage.

Chen Gong, Zhenzhe Zheng, Fan Wu, Yunfeng Shao, Bingshuai Li, Guihai Chen

Proceedings of the ACM Web Conference 2023, 2023

Learning From Your Neighbours: Mobility-Driven Device-Edge-Cloud Federated Learning.

Songli Zhang, Zhenzhe Zheng, Fan Wu, Bingshuai Li, Yunfeng Shao, Guihai Chen

Proceedings of the 52nd International Conference on Parallel Processing, 2023

2022

Exploring uncertainty in regression neural networks for construction of prediction intervals.

Yuandu Lai, Yucheng Shi, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li

Neurocomputing, 2022

ODE: A Data Sampling Method for Practical Federated Learning with Streaming Data and Limited Buffer.

Chen Gong, Zhenzhe Zheng, Fan Wu, Bingshuai Li, Yunfeng Shao, Guihai Chen

CoRR, 2022

Federated Learning with Position-Aware Neurons.

Xin-Chun Li, Yi-Chu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan

CoRR, 2022

Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again.

Xin-Chun Li, Wen-Shu Fan, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, De-Chuan Zhan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Avoid Overfitting User Specific Information in Federated Keyword Spotting.

Xin-Chun Li, Jin-Lin Tang, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, Le Gan, De-Chuan Zhan

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Federated Learning with Position-Aware Neurons.

Xin-Chun Li, Yichu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

A Distributed Threshold Additive Homomorphic Encryption for Federated Learning with Dropout Resiliency Based on Lattice.

Haibo Tian, Yanchuan Wen, Fangguo Zhang, Yunfeng Shao, Bingshuai Li

Proceedings of the Cyberspace Safety and Security - 14th International Symposium, 2022

2021

Secure Linear Aggregation Using Decentralized Threshold Additive Homomorphic Encryption For Federated Learning.

Haibo Tian, Fangguo Zhang, Yunfeng Shao, Bingshuai Li

CoRR, 2021

Preliminary Steps Towards Federated Sentiment Classification.

Xin-Chun Li, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song

CoRR, 2021

Aggregate or Not? Exploring Where to Privatize in DNN Based Federated Learning Under Different Non-IID Scenes.

Xin-Chun Li, Le Gan, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song

CoRR, 2021

Black-box Probe for Unsupervised Domain Adaptation without Model Transferring.

Kunhong Wu, Yucheng Shi, Yahong Han, Yunfeng Shao, Bingshuai Li

CoRR, 2021

Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals.

Yuandu Lai, Yucheng Shi, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li

CoRR, 2021

FedPHP: Federated Personalization with Inherited Private Models.

Xin-Chun Li, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2020

Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation.

Pin Jiang, Aming Wu, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020