Linshan Jiang

According to our database, Linshan Jiang authored at least 32 papers between 2016 and 2024.

Collaborative distances:

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

2024

OFL-W3: A One-shot Federated Learning System on Web 3.0.

Linshan Jiang, Moming Duan, Bingsheng He, Yulin Sun, Peishen Yan, Yang Hua, Tao Song

Proc. VLDB Endow., August, 2024

Efficiency Optimization Techniques in Privacy-Preserving Federated Learning With Homomorphic Encryption: A Brief Survey.

Qipeng Xie, Siyang Jiang, Linshan Jiang, Yongzhi Huang, Zhihe Zhao, Salabat Khan, Wangchen Dai, Zhe Liu, Kaishun Wu

IEEE Internet Things J., July, 2024

ED-ViT: Splitting Vision Transformer for Distributed Inference on Edge Devices.

Xiang Liu, Yijun Song, Xia Li, Yifei Sun, Huiying Lan, Zemin Liu, Linshan Jiang, Jialin Li

CoRR, 2024

Poster Abstract: Threshold Cryptography-based Authentication Protocol for Remote Healthcare.

Qipeng Xie, Zhihe Zhao, Linshan Jiang, Siyang Jiang, Salabat Khan, Weizheng Wang, Kaishun Wu

Proceedings of the 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks, 2024

EC-SNN: Splitting Deep Spiking Neural Networks for Edge Devices.

Di Yu, Xin Du, Linshan Jiang, Wentao Tong, Shuiguang Deng

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Practical Hybrid Gradient Compression for Federated Learning Systems.

Sixu Hu, Linshan Jiang, Bingsheng He

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Correction to "Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices".

Yang Zhao, Jun Zhao, Linshan Jiang, Rui Tan, Dusit Niyato, Zengxiang Li, Lingjuan Lyu, Yingbo Liu

IEEE Internet Things J., 2023

FedLPA: Personalized One-shot Federated Learning with Layer-Wise Posterior Aggregation.

Xiang Liu, Liangxi Liu, Feiyang Ye, Yunheng Shen, Xia Li, Linshan Jiang, Jialin Li

CoRR, 2023

Poster Abstract: CNN-guardian: Secure Neural Network Inference Acceleration on Edge GPU.

Qipeng Xie, Hao Yang, Linshan Jiang, Zhihe Zhao, Siyang Jiang, Shiyu Shen, Salabat Khan, Zhe Liu, Kaishun Wu

Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023

2022

Lightweight privacy preservation techniques for deep learning and inference in Internet of Things

Linshan Jiang

PhD thesis, 2022

Attack-aware Synchronization-free Data Timestamping in LoRaWAN.

Chaojie Gu, Linshan Jiang, Rui Tan, Mo Li, Jun Huang

ACM Trans. Sens. Networks, 2022

ILLOC: In-Hall Localization with Standard LoRaWAN Uplink Frames.

Dongfang Guo, Chaojie Gu, Linshan Jiang, Wenjie Luo, Rui Tan

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

PriMask: Cascadable and Collusion-Resilient Data Masking for Mobile Cloud Inference.

Linshan Jiang, Qun Song, Rui Tan, Mo Li

Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

2021

On Lightweight Privacy-preserving Collaborative Learning for Internet of Things by Independent Random Projections.

Linshan Jiang, Rui Tan, Xin Lou, Guosheng Lin

ACM Trans. Internet Things, 2021

Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices.

Yang Zhao, Jun Zhao, Linshan Jiang, Rui Tan, Dusit Niyato, Zengxiang Li, Lingjuan Lyu, Yingbo Liu

IEEE Internet Things J., 2021

An Electromagnetic Covert Channel based on Neural Network Architecture.

Chaojie Gu, Jiale Chen, Rui Tan, Linshan Jiang

Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021

2020

Resilience Bounds of Network Clock Synchronization with Fault Correction.

Linshan Jiang, Rui Tan, Arvind Easwaran

ACM Trans. Sens. Networks, 2020

Lightweight and Unobtrusive Data Obfuscation at IoT Edge for Remote Inference.

Dixing Xu, Mengyao Zheng, Linshan Jiang, Chaojie Gu, Rui Tan, Peng Cheng

IEEE Internet Things J., 2020

Attack-Aware Data Timestamping in Low-Power Synchronization-Free LoRaWAN.

Chaojie Gu, Linshan Jiang, Rui Tan, Mo Li, Jun Huang

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

2019

Lightweight and Unobtrusive Privacy Preservation for Remote Inference via Edge Data Obfuscation.

Dixing Xu, Mengyao Zheng, Linshan Jiang, Chaojie Gu, Rui Tan, Peng Cheng

CoRR, 2019

Challenges of Privacy-Preserving Machine Learning in IoT.

Mengyao Zheng, Dixing Xu, Linshan Jiang, Chaojie Gu, Rui Tan, Peng Cheng

CoRR, 2019

Mobile Edge Computing, Blockchain and Reputation-based Crowdsourcing IoT Federated Learning: A Secure, Decentralized and Privacy-preserving System.

Yang Zhao, Jun Zhao, Linshan Jiang, Rui Tan, Dusit Niyato

CoRR, 2019

On Lightweight Privacy-Preserving Collaborative Learning for IoT Objects.

Linshan Jiang, Rui Tan, Xin Lou, Guosheng Lin

CoRR, 2019

On lightweight privacy-preserving collaborative learning for internet-of-things objects.

Linshan Jiang, Rui Tan, Xin Lou, Guosheng Lin

Proceedings of the International Conference on Internet of Things Design and Implementation, 2019

Differentially Private Collaborative Learning for the IoT Edge.

Linshan Jiang, Xin Lou, Rui Tan, Jun Zhao

Proceedings of the 2019 International Conference on Embedded Wireless Systems and Networks, 2019

LoRa-Based Localization: Opportunities and Challenges.

Chaojie Gu, Linshan Jiang, Rui Tan

Proceedings of the 2019 International Conference on Embedded Wireless Systems and Networks, 2019

2018

An Insurance-Based Framework Against Security Threat in Mobile Crowdsourcing Systems.

Rong Zhao, Linshan Jiang, Kaiyue Zhang, Jin Zhang

Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

Resilience Bounds of Sensing-Based Network Clock Synchronization.

Rui Tan, Linshan Jiang, Arvind Easwaran, Jothi Prasanna Shanmuga Sundaram

Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

An Insurance-based Incentive Mechanism for Mobile Crowdsourcing to Improve System Security.

Rong Zhao, Linshan Jiang, Jin Zhang

Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018

2016

Spectrum Matching.

Yanjiao Chen, Linshan Jiang, Haofan Cai, Jin Zhang, Baochun Li

Proceedings of the 36th IEEE International Conference on Distributed Computing Systems, 2016

Multi-seller combinatorial spectrum auction with reserve prices.

Haofan Cai, Linshan Jiang, Yanjiao Chen, Jin Zhang, Baochun Li

Proceedings of the 2016 IEEE International Conference on Communication Systems, 2016

Many-to-many matching for combinatorial spectrum trading.

Linshan Jiang, Haofan Cai, Yanjiao Chen, Jin Zhang, Baochun Li

Proceedings of the 2016 IEEE International Conference on Communications, 2016