Shuqi Ke

According to our database, Shuqi Ke authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

Duopoly Business Competition in Cross-Silo Federated Learning.

Chao Huang, Shuqi Ke, Xin Liu

IEEE Trans. Netw. Sci. Eng., 2024

On the Convergence of Differentially-Private Fine-tuning: To Linearly Probe or to Fully Fine-tune?

Shuqi Ke, Charlie Hou, Giulia Fanti, Sewoong Oh

CoRR, 2024

How Can LLM Guide RL? A Value-Based Approach.

Shenao Zhang, Sirui Zheng, Shuqi Ke, Zhihan Liu, Wanxin Jin, Jianbo Yuan, Yingxiang Yang, Hongxia Yang, Zhaoran Wang

CoRR, 2024

Reason for Future, Act for Now: A Principled Architecture for Autonomous LLM Agents.

Zhihan Liu, Hao Hu, Shenao Zhang, Hongyi Guo, Shuqi Ke, Boyi Liu, Zhaoran Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency.

Zhihan Liu, Hao Hu, Shenao Zhang, Hongyi Guo, Shuqi Ke, Boyi Liu, Zhaoran Wang

CoRR, 2023

On the Impact of Label Noise in Federated Learning.

Shuqi Ke, Chao Huang, Xin Liu

Proceedings of the 21st International Symposium on Modeling and Optimization in Mobile, 2023

2022

Quantifying the Impact of Label Noise on Federated Learning.

Shuqi Ke, Chao Huang, Xin Liu

CoRR, 2022