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Zilinghan Li
Zilinghan Li
Machine Learning Engineer, Argonne National Laboratory
Overená e-mailová adresa na: anl.gov - Domovská stránka
Názov
Citované v
Citované v
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Appflx: Providing privacy-preserving cross-silo federated learning as a service
Z Li, S He, P Chaturvedi, TH Hoang, M Ryu, EA Huerta, V Kindratenko, ...
2023 IEEE 19th international conference on e-science (e-science), 1-4, 2023
122023
Fedcompass: efficient cross-silo federated learning on heterogeneous client devices using a computing power aware scheduler
Z Li, P Chaturvedi, S He, H Chen, G Singh, V Kindratenko, EA Huerta, ...
The Twelfth International Conference on Learning Representations (ICLR 2024), 2024
112024
Enabling end-to-end secure federated learning in biomedical research on heterogeneous computing environments with appflx
TH Hoang, J Fuhrman, M Klarqvist, M Li, P Chaturvedi, Z Li, K Kim, M Ryu, ...
Computational and Structural Biotechnology Journal 28, 29-39, 2025
92025
FedSZ: Leveraging error-bounded lossy compression for federated learning communications
G Wilkins, S Di, JC Calhoun, Z Li, K Kim, R Underwood, R Mortier, ...
2024 IEEE 44th International Conference on Distributed Computing Systems …, 2024
7*2024
Activematch: End-to-end semi-supervised active representation learning
X Yuan, Z Li, G Wang
2022 IEEE International Conference on Image Processing (ICIP), 1136-1140, 2022
72022
Advances in appfl: A comprehensive and extensible federated learning framework
Z Li, S He, Z Yang, M Ryu, K Kim, R Madduri
2025 IEEE 25th International Symposium on Cluster, Cloud and Internet …, 2025
42025
Secure federated learning across heterogeneous cloud and high-performance computing resources-a case study on federated fine-tuning of llama 2
Z Li, S He, P Chaturvedi, V Kindratenko, EA Huerta, K Kim, R Madduri
Computing in Science & Engineering, 2024
42024
An efficient generative data imputation toolbox with adversarial learning
Y Wu, X Miao, Z Li, S He, X Yuan, J Yin
2023 IEEE 39th International Conference on Data Engineering (ICDE), 3651-3654, 2023
32023
FedSpaLLM: Federated pruning of large language models
G Bai, Y Li, Z Li, L Zhao, K Kim
2025 Annual Conference of the Nations of the Americas Chapter of the …, 2025
22025
Gen-sis: Generative self-augmentation improves self-supervised learning
V Belagali, S Yellapragada, A Graikos, S Kapse, Z Li, TN Nandi, ...
arXiv preprint arXiv:2412.01672, 2024
12024
ViCTer: A semi-supervised video character tracker
Z Li, X Wang, Z Zhang, V Kindratenko
Machine Learning with Applications 12, 100460, 2023
12023
Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System
R Madduri, Z Li, T Nandi, K Kim, M Ryu, A Rodriguez
2024 IEEE 6th International Conference on Trust, Privacy and Security in …, 2024
2024
Systém momentálne nemôže vykonať operáciu. Skúste to neskôr.
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