Tianqu Kang

Ph.D. Student, Electrical and Computer Engineering, The University of Texas at Austin

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The University of Texas at Austin

Austin, TX, USA

I am a Ph.D. student in Electrical and Computer Engineering at The University of Texas at Austin, advised by Prof. Gustavo de Veciana. My research focuses on large language model (LLM) inference and networked system design for efficient and distributed AI computation.

I received my MPhil in Electronic and Computer Engineering from The Hong Kong University of Science and Technology (HKUST) in 2025, under the supervision of Prof. Khaled B. Letaief, where I worked on federated learning and differential privacy. Before that, I completed my BEng in Electronic Engineering & Mathematics at HKUST in 2023, graduating with First Class Honors, ranked 3rd out of 102, and receiving the Academic Achievement Medal. I also spent a semester at EPFL in Spring 2022, working on a research project in the Digital Humanities Laboratory.

selected publications

  1. MeditCom
    Federated Low-Rank Adaptation with Differential Privacy over Wireless Networks
    Tianqu Kang, Zixin Wang, Hengtao He, and 3 more authors
    In Proc. IEEE Int. Mediterranean Conf. Commun. Netw. (MeditCom), 2025
  2. MeditCom
    The Effect of Quantization in Federated Learning: A Rényi Differential Privacy Perspective
    Tianqu Kang, Lumin Liu, Hengtao He, and 3 more authors
    In Proc. IEEE Int. Mediterranean Conf. Commun. Netw. (MeditCom), 2024