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2020 – today
- 2025
[c12]Kaveen Hiniduma, Zilinghan Li, Aditya Sinha, Ravi K. Madduri, Suren Byna
:
CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning. eScience 2025: 121-130- [c11]Aditya Sinha, Zilinghan Li, Tingkai Liu, Volodymyr V. Kindratenko, Kibaek Kim, Ravi K. Madduri:
Cost-Aware Federated Learning on the Cloud. eScience 2025: 321-322 - [c10]Srikar Yellapragada, Alexandros Graikos, Kostas Triaridis, Zilinghan Li, Tarak Nath Nandi, Ravi K. Madduri, Prateek Prasanna, Joel H. Saltz, Dimitris Samaras:
Pathology Image Compression with Pre-trained Autoencoders. MICCAI (2) 2025: 442-452 - [c9]Guangji Bai, Yijiang Li, Zilinghan Li, Liang Zhao, Kibaek Kim:
FedSpaLLM: Federated Pruning of Large Language Models. NAACL (Long Papers) 2025: 8361-8373 - [i16]Franck Cappello, Sandeep Madireddy, Robert Underwood, Neil Getty, Nicholas Lee-Ping Chia, Nesar Ramachandra, Josh Nguyen, Murat Keçeli, Tanwi Mallick, Zilinghan Li, Marieme Ngom, Chenhui Zhang, Angel Yanguas-Gil, Evan R. Antoniuk, Bhavya Kailkhura, Minyang Tian, Yufeng Du, Yuan-Sen Ting, Azton Wells, Bogdan Nicolae, Avinash Maurya, M. Mustafa Rafique, Eliu A. Huerta, Bo Li, Ian T. Foster, Rick Stevens:
EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants. CoRR abs/2502.20309 (2025) - [i15]Srikar Yellapragada, Alexandros Graikos, Kostas Triaridis, Zilinghan Li, Tarak Nath Nandi, Ravi K. Madduri, Prateek Prasanna, Joel H. Saltz, Dimitris Samaras:
Pathology Image Compression with Pre-trained Autoencoders. CoRR abs/2503.11591 (2025) - [i14]Aditya Sinha, Zilinghan Li, Tingkai Liu, Volodymyr V. Kindratenko, Kibaek Kim, Ravi K. Madduri:
FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud. CoRR abs/2505.21727 (2025) - [i13]Kaveen Hiniduma, Zilinghan Li, Aditya Sinha, Ravi K. Madduri, Suren Byna:
CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning. CoRR abs/2505.23849 (2025) - [i12]Srikar Yellapragada, Alexandros Graikos, Zilinghan Li, Kostas Triaridis, Varun Belagali, Saarthak Kapse, Tarak Nath Nandi, Ravi K. Madduri, Prateek Prasanna, Tahsin M. Kurç, Rajarsi R. Gupta, Joel H. Saltz, Dimitris Samaras:
PixCell: A generative foundation model for digital histopathology images. CoRR abs/2506.05127 (2025) - [i11]Varun Belagali, Pierre Marza, Srikar Yellapragada, Zilinghan Li, Tarak Nath Nandi, Ravi K. Madduri, Joel H. Saltz, Stergios Christodoulidis, Maria Vakalopoulou, Dimitris Samaras:
CDG-MAE: Learning Correspondences from Diffusion Generated Views. CoRR abs/2506.18164 (2025) - [i10]Zilinghan Li, Aditya Sinha, Yijiang Li, Kyle Chard, Kibaek Kim, Ravi K. Madduri:
Experiences Building Enterprise-Level Privacy-Preserving Federated Learning to Power AI for Science. CoRR abs/2511.08998 (2025) - 2024
- [j1]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. Comput. Sci. Eng. 26(3): 52-58 (2024) - [c8]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. ICDCS 2024: 577-588 - [c7]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 - [c6]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: 1187-1188 - [c5]Ravi K. Madduri, Zilinghan Li, Tarak Nath Nandi, Kibaek Kim, Minseok Ryu, Alex Rodriguez:
Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System. TPS-ISA 2024: 273-279 - [i9]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 abs/2402.12271 (2024) - [i8]Zilinghan Li, Shilan He, Ze Yang, Minseok Ryu, Kibaek Kim, Ravi K. Madduri:
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework. CoRR abs/2409.11585 (2024) - [i7]Ravi K. Madduri, Zilinghan Li, Tarak Nath Nandi, Kibaek Kim, Minseok Ryu, Alex Rodriguez:
Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System. CoRR abs/2409.19756 (2024) - [i6]Guangji Bai, Yijiang Li, Zilinghan Li, Liang Zhao, Kibaek Kim:
FedSpaLLM: Federated Pruning of Large Language Models. CoRR abs/2410.14852 (2024) - [i5]Varun Belagali, Srikar Yellapragada, Alexandros Graikos, Saarthak Kapse, Zilinghan Li, Tarak Nath Nandi, Ravi K. Madduri, Prateek Prasanna, Joel H. Saltz, Dimitris Samaras:
Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning. CoRR abs/2412.01672 (2024) - 2023
- [c4]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:
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. e-Science 2023: 1-4 - [c3]Yangyang Wu, Xiaoye Miao, Zilinghan Li, Shilan He, Xinkai Yuan, Jianwei Yin:
An Efficient Generative Data Imputation Toolbox with Adversarial Learning. ICDE 2023: 3651-3654 - [d1]Zilinghan Li, Xiwei Wang, Zhenning Zhang, Volodymyr V. Kindratenko:
Character Face in Video. IEEE DataPort, 2023
- [i4]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:
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. CoRR abs/2308.08786 (2023) - [i3]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. CoRR abs/2309.14675 (2023) - [i2]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:
Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx. CoRR abs/2312.08701 (2023) - 2022
- [c2]Xinkai Yuan, Zilinghan Li, Gaoang Wang:
ActiveMatch: End-To-End Semi-Supervised Active Representation Learning. ICIP 2022: 1136-1140 - 2021
- [c1]Zilinghan Li, Shilan He, Yiqing Du, Senén González, Klaus-Dieter Schewe:
Unbounded Barrier-Synchronized Concurrent ASMs for Effective MapReduce Processing on Streams. ABZ 2021: 3-16 - [i1]Xinkai Yuan, Zilinghan Li, Gaoang Wang:
ActiveMatch: End-to-end Semi-supervised Active Representation Learning. CoRR abs/2110.02521 (2021)
Coauthor Index
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