Lun Wang

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024

Enhancing Federated Learning With Server-Side Unlabeled Data by Adaptive Client and Data Selection.

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[DOI]

IEEE Trans. Mob. Comput., April, 2024

Accelerating Federated Learning With Data and Model Parallelism in Edge Computing.

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[DOI]

IEEE/ACM Trans. Netw., February, 2024

RareBench: Can LLMs Serve as Rare Diseases Specialists?

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[DOI]

CoRR, 2024

2023

Joint Model Pruning and Topology Construction for Accelerating Decentralized Machine Learning.

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[DOI]

IEEE Trans. Parallel Distributed Syst., October, 2023

Adaptive Control of Local Updating and Model Compression for Efficient Federated Learning.

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[DOI]

IEEE Trans. Mob. Comput., October, 2023

Accelerating Decentralized Federated Learning in Heterogeneous Edge Computing.

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[DOI]

IEEE Trans. Mob. Comput., September, 2023

The Strategic Weight Manipulation Model in Uncertain Environment: A Robust Risk Optimization Approach.

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[DOI]

Syst., March, 2023

Adaptive Asynchronous Federated Learning in Resource-Constrained Edge Computing.

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[DOI]

IEEE Trans. Mob. Comput., 2023

Product competitiveness analysis from the perspective of customer perceived helpfulness: a novel method of information fusion research.

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[DOI]

Data Technol. Appl., 2023

Ratel: MPC-extensions for Smart Contracts.

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[DOI]

Mikerah Quintyne-Collins

IACR Cryptol. ePrint Arch., 2023

MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation.

[BibT_eX]

[DOI]

CoRR, 2023

Unintended Memorization in Large ASR Models, and How to Mitigate It.

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[DOI]

Lun Wang

Om Thakkar

Rajiv Mathews

CoRR, 2023

Adaptive Configuration for Heterogeneous Participants in Decentralized Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2023, 2023

Secure Federated Correlation Test and Entropy Estimation.

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[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Why Is Public Pretraining Necessary for Private Model Training?

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[DOI]

Abhradeep Guha Thakurta

Lun Wang

Proceedings of the International Conference on Machine Learning, 2023

Byzantine-Robust Federated Learning with Optimal Statistical Rates.

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[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Decentralized Machine Learning Through Experience-Driven Method in Edge Networks.

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[DOI]

IEEE J. Sel. Areas Commun., 2022

Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees.

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[DOI]

CoRR, 2022

Differentially Private Fractional Frequency Moments Estimation with Polylogarithmic Space.

[BibT_eX]

[DOI]

Lun Wang

Iosif Pinelis

Dawn Song

Proceedings of the Tenth International Conference on Learning Representations, 2022

Enhancing Federated Learning with In-Cloud Unlabeled Data.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

FED-χ<sub>2</sub>: Privacy Preserving Federated Correlation Test.

[BibT_eX]

[DOI]

CoRR, 2021

Differentially Private Frequency Moments Estimation with Polylogarithmic Space.

[BibT_eX]

[DOI]

Lun Wang

Dawn Song

CoRR, 2021

Differential Privacy Protection and Game Analysis of Intelligent Transportation Data.

[BibT_eX]

[DOI]

Proceedings of the 12th International Symposium on Parallel Architectures, 2021

2020

F2ED-Learning: Good Fences Make Good Neighbors.

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[DOI]

CoRR, 2020

Towards practical differentially private causal graph discovery.

[BibT_eX]

[DOI]

Lun Wang

Qi Pang

Dawn Song

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Fine-grained probability counting for cardinality estimation of data streams.

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[DOI]

World Wide Web, 2019

Fair Down to the Device: A GC-Aware Fair Scheduler for SSD.

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[DOI]

Proceedings of the 2019 IEEE Non-Volatile Memory Systems and Applications Symposium, 2019

A Generic Technique for Sketches to Adapt to Different Counting Ranges.

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[DOI]

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Dynamic Multi-label Learning with Multiple New Labels.

[BibT_eX]

[DOI]

Lun Wang

Wentao Xiao

Shan Ye

Proceedings of the Image and Graphics - 10th International Conference, 2019

2018

Empowering Sketches with Machine Learning for Network Measurements.

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[DOI]

Proceedings of the 2018 Workshop on Network Meets AI & ML, 2018

Fine-Grained Probability Counting: Refined LogLog Algorithm.

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[DOI]

Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

2017

FISF: Better User Experience using Smaller Bandwidth for Panoramic Virtual Reality Video.

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[DOI]

CoRR, 2017

2015

Influential user recommendation through SVD based topic diversification.

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[DOI]

Proceedings of the 19th IEEE International Conference on Computer Supported Cooperative Work in Design, 2015

2013

Creation of ESL power models for communication architectures using automatic calibration.

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[DOI]

Proceedings of the 50th Annual Design Automation Conference 2013, 2013

Lun Wang

Bibliography

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