Lun Wang

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

Bibliography

2024
Decentralized Federated Learning With Adaptive Configuration for Heterogeneous Participants.
IEEE Trans. Mob. Comput., June, 2024

BOSE: Block-Wise Federated Learning in Heterogeneous Edge Computing.
IEEE/ACM Trans. Netw., April, 2024

Enhancing Federated Learning With Server-Side Unlabeled Data by Adaptive Client and Data Selection.
IEEE Trans. Mob. Comput., April, 2024

Accelerating Federated Learning With Data and Model Parallelism in Edge Computing.
IEEE/ACM Trans. Netw., February, 2024

Maximum expert consensus model with uncertain adjustment costs for social network group decision making.
Inf. Fusion, 2024

AITIA: Efficient Secure Computation of Bivariate Causal Discovery.
IACR Cryptol. ePrint Arch., 2024

CherryRec: Enhancing News Recommendation Quality via LLM-driven Framework.
CoRR, 2024

AudioMarkBench: Benchmarking Robustness of Audio Watermarking.
CoRR, 2024

RareBench: Can LLMs Serve as Rare Diseases Specialists?
CoRR, 2024

A self-selecting memory element based on a method of interconnected ovonic threshold switching device.
Sci. China Inf. Sci., 2024

MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Reconciling Privacy and Byzantine-robustness in Federated Learning.
Proceedings of the AAAI 2024 Spring Symposium Series, 2024

2023
Joint Model Pruning and Topology Construction for Accelerating Decentralized Machine Learning.
IEEE Trans. Parallel Distributed Syst., October, 2023

Adaptive Control of Local Updating and Model Compression for Efficient Federated Learning.
IEEE Trans. Mob. Comput., October, 2023

Accelerating Decentralized Federated Learning in Heterogeneous Edge Computing.
IEEE Trans. Mob. Comput., September, 2023

The Strategic Weight Manipulation Model in Uncertain Environment: A Robust Risk Optimization Approach.
Syst., March, 2023

Adaptive Asynchronous Federated Learning in Resource-Constrained Edge Computing.
IEEE Trans. Mob. Comput., 2023

Product competitiveness analysis from the perspective of customer perceived helpfulness: a novel method of information fusion research.
Data Technol. Appl., 2023

Adaptive Configuration for Heterogeneous Participants in Decentralized Federated Learning.
Proceedings of the IEEE INFOCOM 2023, 2023

2022
Decentralized Machine Learning Through Experience-Driven Method in Edge Networks.
IEEE J. Sel. Areas Commun., 2022

Enhancing Federated Learning with In-Cloud Unlabeled Data.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
Differential Privacy Protection and Game Analysis of Intelligent Transportation Data.
Proceedings of the 12th International Symposium on Parallel Architectures, 2021

2019
Fair Down to the Device: A GC-Aware Fair Scheduler for SSD.
Proceedings of the 2019 IEEE Non-Volatile Memory Systems and Applications Symposium, 2019

Dynamic Multi-label Learning with Multiple New Labels.
Proceedings of the Image and Graphics - 10th International Conference, 2019

2015
Influential user recommendation through SVD based topic diversification.
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.
Proceedings of the 50th Annual Design Automation Conference 2013, 2013


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