Bingshuai Li

Orcid: 0000-0001-7655-6919

According to our database1, Bingshuai Li authored at least 20 papers between 2020 and 2024.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Lattice based distributed threshold additive homomorphic encryption with application in federated learning.
Comput. Stand. Interfaces, January, 2024

2023
Source-free and black-box domain adaptation via distributionally adversarial training.
Pattern Recognit., November, 2023

Active and Compact Entropy Search for High-Dimensional Bayesian Optimization.
IEEE Trans. Knowl. Data Eng., 2023

ECLM: Efficient Edge-Cloud Collaborative Learning with Continuous Environment Adaptation.
CoRR, 2023

To Store or Not? Online Data Selection for Federated Learning with Limited Storage.
Proceedings of the ACM Web Conference 2023, 2023

Learning From Your Neighbours: Mobility-Driven Device-Edge-Cloud Federated Learning.
Proceedings of the 52nd International Conference on Parallel Processing, 2023

2022
Exploring uncertainty in regression neural networks for construction of prediction intervals.
Neurocomputing, 2022

ODE: A Data Sampling Method for Practical Federated Learning with Streaming Data and Limited Buffer.
CoRR, 2022

Federated Learning with Position-Aware Neurons.
CoRR, 2022

Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again.
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.
Proceedings of the Interspeech 2022, 2022

Federated Learning with Position-Aware Neurons.
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.
Proceedings of the Cyberspace Safety and Security - 14th International Symposium, 2022

2021
Secure Linear Aggregation Using Decentralized Threshold Additive Homomorphic Encryption For Federated Learning.
CoRR, 2021

Preliminary Steps Towards Federated Sentiment Classification.
CoRR, 2021

Aggregate or Not? Exploring Where to Privatize in DNN Based Federated Learning Under Different Non-IID Scenes.
CoRR, 2021

Black-box Probe for Unsupervised Domain Adaptation without Model Transferring.
CoRR, 2021

Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals.
CoRR, 2021

FedPHP: Federated Personalization with Inherited Private Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2020
Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020


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