Pu Tian

According to our database, Pu Tian authored at least 13 papers between 2017 and 2023.

Collaborative distances:

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

2023

Resource-Aware Knowledge Distillation for Federated Learning.

Zheyi Chen, Pu Tian, Weixian Liao, Xuhui Chen, Guobin Xu, Wei Yu

IEEE Trans. Emerg. Top. Comput., 2023

Admission Control and Scheduling of Isochronous and Asynchronous Traffic in IEEE 802.11ad MAC.

Anirudha Sahoo, Pu Tian, Tanguy Ropitault, Steve Blandino, Nada Golmie

Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

Towards an Adversarial Machine Learning Framework in Cyber-Physical Systems.

John Mulo, Pu Tian, Adamu Hussaini, Hengshuo Liang, Wei Yu

Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023

Performance of GAN-Based Denoising and Restoration Techniques for Adversarial Face Images.

Turhan Kimbrough, Pu Tian, Weixian Liao, Wei Yu

Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023

2022

WSCC: A Weight-Similarity-Based Client Clustering Approach for Non-IID Federated Learning.

Pu Tian, Weixian Liao, Wei Yu, Erik Blasch

IEEE Internet Things J., 2022

A Fairness-Aware Peer-to-Peer Decentralized Learning Framework with Heterogeneous Devices.

Zheyi Chen, Weixian Liao, Pu Tian, Qianlong Wang, Wei Yu

Future Internet, 2022

Transformations as Denoising: A Robust Approach to Weaken Adversarial Facial Images.

Pu Tian, Turhan Kimbrough, Weixian Liao, Erik Blasch, Wei Yu

Proceedings of the IEEE International Conference on Networking, Architecture and Storage, 2022

Deep CAPTCHA Recognition Using Encapsulated Preprocessing and Heterogeneous Datasets.

Turhan Kimbrough, Pu Tian, Weixian Liao, Erik Blasch, Wei Yu

Proceedings of the IEEE INFOCOM 2022, 2022

2021

Zero Knowledge Clustering Based Adversarial Mitigation in Heterogeneous Federated Learning.

Zheyi Chen, Pu Tian, Weixian Liao, Wei Yu

IEEE Trans. Netw. Sci. Eng., 2021

Towards asynchronous federated learning based threat detection: A DC-Adam approach.

Pu Tian, Zheyi Chen, Wei Yu, Weixian Liao

Comput. Secur., 2021

FALIoTSE: Towards Federated Adversarial Learning for IoT Search Engine Resiliency.

Pu Tian, William Grant Hatcher, Weixian Liao, Wei Yu, Erik Blasch

Proceedings of the IEEE Intl Conf on Dependable, 2021

2017

Classification of endangered languages using decision tree based algorithms.

Dongsheng Che, Taylor Shafer, Pu Tian

Proceedings of the 13th International Conference on Natural Computation, 2017

Discovering genomic islands in microbial genomes using a genetic algorithm.

Dongsheng Che, Pingsheng Gao, Pu Tian, Bernard Chen

Proceedings of the 13th International Conference on Natural Computation, 2017