About me

Greetings~~ My name is Amber (Jiachen) Liu, fourth year CS PhD advised by Prof. Mosharaf Chowdhury. Before, I had a great time working with Prof. Sam Madden and Prof. Lei Cao at MIT and Prof. Siqian Shen at Umich, yay!

My research focuses on resource management for machine learning applications = {AutoML, FL, LLMs}. I maintain two paper lists for Federated Learning (FL) systems and Large Language Models (LLMs) systems. Meanwhile, I serve as the TA for Systems for Generative AI at Umich, where I create some tutorial about LLM systems design, LLM Fine-tuning and Vector Database.

ML.Energy Leaderboard

The goal of the ML.ENERGY Leaderboard is to give people a sense of how much energy LLMs would consume. Try our Colosseum (online LLM serving) to check the energy consumption of LLM inference.

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FedScale

A scalable and extensible federated learning engine and benchmark.

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Publications

• Fluid: Resource-Aware Hyperparameter Tuning Engine, MLSys, 2021
  Peifeng Yu*, Jiachen Liu*, Mosharaf Chowdhury (* Equal contribution).

• FedScale: Benchmarking Model and System Performance of Federated Learning at Scale, ICML, 2022
  Fan Lai, Yinwei Dai, Sanjay S. Singapuram, Jiachen Liu, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury.

• Auxo: Efficient Federated Learning via Scalable Cohort Identification, SoCC, 2023.
  Jiachen Liu, Fan Lai, Yinwei Dai, Aditya Akella, Harsha Madhyastha, Mosharaf Chowdhury.

• Venn: Resource Management Across Federated Learning Jobs, Arxiv, 2023.
  Jiachen Liu, Fan Lai, Ding Ding, Yiwen Zhang, Mosharaf Chowdhury.

• Efficient Large Language Models: A Survey, TMLR, 2024.
  Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang.

• FedTrans: Efficient Federated Learning via Multi-Model Transformation, MLSys 2024.
  Yuxuan Zhu, Jiachen Liu, Mosharaf Chowdhury, Fan Lai

• Andes: Defining and Enhancing Quality-of-Experience in LLM-Based Text Streaming Services, Arxiv 2024.
  Jiachen Liu, Zhiyu Wu, Jae-Won Chung, Fan Lai, Myungjin Lee, Mosharaf Chowdhury