Zilinghan Li

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 11

Top Topics

Naive Bayesian Classification

Privacy Preserving Association Rule Mining

Computing Power

Top Venues

Publications

Zilinghan Li, Shilan He, Pranshu Chaturvedi, Volodymyr V. Kindratenko, Eliu A Huerta, Kibaek Kim, Ravi K. Madduri
Secure Federated Learning Across Heterogeneous Cloud and High-Performance Computing Resources - A Case Study on Federated Fine-tuning of LLaMA 2. CoRR (2024)
Grant Wilkins, Sheng Di, Jon C. Calhoun, Zilinghan Li, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello
FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications. IPDPS (Workshops) (2024)
Zilinghan Li, Pranshu Chaturvedi, Shilan He, Han Chen, Gagandeep Singh, Volodymyr V. Kindratenko, Eliu A. Huerta, Kibaek Kim, Ravi K. Madduri
FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler. ICLR (2024)
Zilinghan Li, Shilan He, Pranshu Chaturvedi, Trung-Hieu Hoang, Minseok Ryu, E. A. Huerta, Volodymyr V. Kindratenko, Jordan D. Fuhrman, Maryellen L. Giger, Ryan Chard, Kibaek Kim, Ravi K. Madduri
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. e-Science (2023)
Trung-Hieu Hoang, Jordan D. Fuhrman, Ravi K. Madduri, Miao Li, Pranshu Chaturvedi, Zilinghan Li, Kibaek Kim, Minseok Ryu, Ryan Chard, E. A. Huerta, Maryellen L. Giger
Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx. CoRR (2023)
Zilinghan Li, Shilan He, Pranshu Chaturvedi, Trung-Hieu Hoang, Minseok Ryu, E. A. Huerta, Volodymyr V. Kindratenko, Jordan D. Fuhrman, Maryellen L. Giger, Ryan Chard, Kibaek Kim, Ravi K. Madduri
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. CoRR (2023)
Yangyang Wu, Xiaoye Miao, Zilinghan Li, Shilan He, Xinkai Yuan, Jianwei Yin
An Efficient Generative Data Imputation Toolbox with Adversarial Learning. ICDE (2023)
Zilinghan Li, Pranshu Chaturvedi, Shilan He, Han Chen, Gagandeep Singh, Volodymyr V. Kindratenko, E. A. Huerta, Kibaek Kim, Ravi K. Madduri
FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler. CoRR (2023)
Xinkai Yuan, Zilinghan Li, Gaoang Wang
ActiveMatch: End-To-End Semi-Supervised Active Representation Learning. ICIP (2022)
Xinkai Yuan, Zilinghan Li, Gaoang Wang
ActiveMatch: End-to-end Semi-supervised Active Representation Learning. CoRR (2021)
Zilinghan Li, Shilan He, Yiqing Du, Senén González, Klaus-Dieter Schewe
Unbounded Barrier-Synchronized Concurrent ASMs for Effective MapReduce Processing on Streams. ABZ (2021)