Youming Tao

Youming Tao

About Me

I am a PhD student with Telecommunication Networks (TKN) Group at the School of Electrical Engineering and Computer Science, TU Berlin, working under the supervision of Prof. Dr.-Ing. habil. Falko Dressler. I also hold a position at the School of Computer Science and Technology at Shandong University, where my advisors are Prof. Dongxiao Yu and Prof. Xiuzhen Cheng. In addition, I have a close collaboration with Prof. Di Wang, the director of the PRADA Lab at KAUST.

I obtained my bachelor’s degree (with distinction) in Computer Science from the Taishan (Honors) College at Shandong University in 2021.

Research Statements

My research interests lie at the intersection of artificial intelligence and information networking. Currently, I am mainly focused on developing trustworthy collaborative machine learning algorithms for edge intelligence. Specifically, my research aims to address the following challenge:

How can we ensure data privacy, fault tolerance, algorithmic stability, communication/computation efficiency and rapid convergence during the collaborative machine learning and optimization process, especially for edge scenarios with constrained computation/memory capability, limited communication bandwidth, highly dynamic topology and malicious adversaries?

Ultimately, my research aims to use theory as a guide for building innovative and impactful solutions for the real world.

Publications

(* denotes equal contribution)

Peer-Refereed Conference Papers

  • Robust Matroid Bandit Optimization against Adversarial Contamination
    Youming Tao, Xiuzhen Cheng, Falko Dressler, Zhipeng Cai, Dongxiao Yu
    The 30th International Computing and Combinatorics Conference (COCOON 2024)

  • Optimizing Task Migration Decisions in Vehicular Edge Computing Environments
    Ziqi Zhou, Youming Tao, Agon Memedi, Chunghan Lee, Seyhan Ucar, Onur Altintas, Falko Dressler
    The 1st IEEE International Conference on Meta Computing (ICMC 2024)

  • Correlation-Aware and Personalized Privacy-Preserving Data Collection
    Dongxiao Yu, Kaiyi Zhang, Youming Tao, Wenlu Xu, Yifei Zou, Xiuzhen Cheng
    International Conference on Computing, Networking and Communication (ICNC 2024)

  • Communication Efficient and Provable Federated Unlearning [arxiv] [link]
    Youming Tao*, Cheng-Long Wang*, Miao Pan, Dongxiao Yu, Xiuzhen Cheng, Di Wang
    The 50th International Conference on Very Large Databases (VLDB 2024)

  • On Private and Robust Bandits [arxiv]
    Yulian Wu*, Xingyu Zhou*, Youming Tao, Di Wang
    The 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

  • Resource-Adaptive Newton’s Method for Distributed Learning [arxiv]
    Shuzhen Chen, Yuan Yuan, Youming Tao, Zhipeng Cai, Dongxiao Yu
    The 29th International Computing and Combinatorics Conference (COCOON 2023)

  • Private Stochastic Convex Optimization and Sparse Learning with Heavy-tailed Data Revisited [link]
    Youming Tao, Yulian Wu, Xiuzhen Cheng, Di Wang
    The 31st International Joint Conference on Artificial Intelligence (IJCAI 2022)

  • Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits [arxiv] [link]
    Youming Tao*, Yulian Wu*, Peng Zhao, Di Wang
    The 25th International Conference on Artificial Intelligence and Statistics (AISTATS 2022)
    Selected as an Oral paper (Acceptance Rate: 44/1685=2.6%).

    • Presented at ICML 2022 Workshop on Responsible Decision Making in Dynamic Environments (RDMDE 2022)
      Selected as contributed talk (Acceptance Rate: 4/40).
    • Presented at CCS 2021 Workshop on Privacy Preserving Machine Learning (PPML 2022)

Peer-Refereed Journal Papers

  • Private Over-the-Air Federated Learning at Band-Limited Edge [link]
    Youming Tao, Shuzhen Chen, Congwei Zhang, Di Wang, Dongxiao Yu, Xiuzhen Cheng, Falko Dressler
    IEEE Transactions on Mobile Computing (Volume: 23, Issue: 12, December 2024)

  • Byzantine-Resilient Federated Learning at Edge [arxiv] [link]
    Youming Tao, Sijia Cui, Wenlu Xu, Haofei Yin, Dongxiao Yu, Weifa Liang, Xiuzhen Cheng
    IEEE Transactions on Computers (Volume: 72, Issue: 9, 01 September 2023)

  • A Distributed Privacy-Preserving Learning Dynamics in General Social Networks [arxiv] [link]
    Youming Tao, Shuzhen Chen, Feng Li, Dongxiao Yu, Jiguo Yu, Hao Sheng
    IEEE Transactions on Knowledge and Data Engineering (Volume: 35, Issue: 9, 01 September 2023)

  • Decentralized Parallel SGD With Privacy Preservation in Vehicular Networks [link]
    Dongxiao Yu, Zongrui Zou, Shuzhen Chen, Youming Tao, Bing Tian, Weifeng Lv, Xiuzhen Cheng
    IEEE Transactions on Vehicular Technology (Volume 70, Issue 6, June 2021)

  • Distributed Learning Dynamics of Multi-Armed Bandits for Edge Intelligence [link]
    Shuzhen Chen, Youming Tao, Dongxiao Yu, FengLi, Bei Gong
    Journal of Systems Architecture (Volume 114, March 2021)

  • Privacy-Preserving Collaborative Learning for Multi-Armed Bandits in IoT [link]
    Shuzhen Chen, Youming Tao, Dongxiao Yu, Feng Li, Bei Gong, Xiuzhen Cheng
    IEEE Internet of Things Journal (Volume 8, Issue 5, March 2021)

Awards

  • National Scholarship of China Nov. 2024

  • President's Award, Shandong University Nov. 2023

  • National Scholarship of China Oct. 2023

  • Outstanding Graduate, Shandong University Jun. 2021

  • Dean's Award, Taishan (Honors) College Jun. 2021

Professional Service