Zilinghan Li

According to our database, Zilinghan Li authored at least 13 papers between 2021 and 2024.

Collaborative distances:

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

2024

Secure Federated Learning Across Heterogeneous Cloud and High-Performance Computing Resources: A Case Study on Federated Fine-Tuning of LLaMA 2.

Zilinghan Li, Shilan He, Pranshu Chaturvedi, Volodymyr V. Kindratenko, Eliu A. Huerta, Kibaek Kim, Ravi K. Madduri

Comput. Sci. Eng., 2024

Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning.

Varun Belagali, Srikar Yellapragada, Alexandros Graikos, Saarthak Kapse, Zilinghan Li, Tarak Nath Nandi, Ravi K. Madduri, Prateek Prasanna, Joel H. Saltz, Dimitris Samaras

CoRR, 2024

FedSpaLLM: Federated Pruning of Large Language Models.

Guangji Bai, Yijiang Li, Zilinghan Li, Liang Zhao, Kibaek Kim

CoRR, 2024

Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System.

Ravi K. Madduri, Zilinghan Li, Tarak Nandi, Kibaek Kim, Minseok Ryu, Alex Rodriguez

CoRR, 2024

Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework.

Zilinghan Li, Shilan He, Ze Yang, Minseok Ryu, Kibaek Kim, Ravi K. Madduri

CoRR, 2024

FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler.

Zilinghan Li, Pranshu Chaturvedi, Shilan He, Han Chen, Gagandeep Singh, Volodymyr V. Kindratenko, Eliu A. Huerta, Kibaek Kim, Ravi K. Madduri

Proceedings of the Twelfth International Conference on Learning Representations, 2024

FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications.

Grant Wilkins, Sheng Di, Jon C. Calhoun, Zilinghan Li, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

2023

Character Face in Video.

Zilinghan Li, Xiwei Wang, Zhenning Zhang, Volodymyr V. Kindratenko

Dataset, January, 2023

Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx.

Trung-Hieu Hoang, Jordan D. Fuhrman, Ravi K. Madduri, Miao Li, Pranshu Chaturvedi, Zilinghan Li, Kibaek Kim, Minseok Ryu, Ryan Chard, Eliu A. Huerta, Maryellen L. Giger

CoRR, 2023

An Efficient Generative Data Imputation Toolbox with Adversarial Learning.

Yangyang Wu, Xiaoye Miao, Zilinghan Li, Shilan He, Xinkai Yuan, Jianwei Yin

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service.

Zilinghan Li, Shilan He, Pranshu Chaturvedi, Trung-Hieu Hoang, Minseok Ryu, Eliu A. Huerta, Volodymyr V. Kindratenko, Jordan D. Fuhrman, Maryellen L. Giger, Ryan Chard, Kibaek Kim, Ravi K. Madduri

Proceedings of the 19th IEEE International Conference on e-Science, 2023

2022

ActiveMatch: End-To-End Semi-Supervised Active Representation Learning.

Xinkai Yuan, Zilinghan Li, Gaoang Wang

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Unbounded Barrier-Synchronized Concurrent ASMs for Effective MapReduce Processing on Streams.

Zilinghan Li, Shilan He, Yiqing Du, Senén González, Klaus-Dieter Schewe

Proceedings of the Rigorous State-Based Methods - 8th International Conference, 2021