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Zilinghan Li
Zilinghan Li
在 anl.gov 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
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
52023
Enabling end-to-end secure federated learning in biomedical research on heterogeneous computing environments with APPFLx
TH Hoang, J Fuhrman, R Madduri, M Li, P Chaturvedi, Z Li, K Kim, M Ryu, ...
arXiv preprint arXiv:2312.08701, 2023
32023
Efficient Communication in Federated Learning Using Floating-Point Lossy Compression
G Wilkins, S Di, JC Calhoun, K Kim, R Underwood, F Cappello
arXiv preprint arXiv:2312.13461, 2023
22023
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), 2023
22023
ViCTer: A semi-supervised video character tracker
Z Li, X Wang, Z Zhang, V Kindratenko
Machine Learning with Applications 12, 100460, 2023
22023
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
22023
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
2024
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
2024
Unbounded Barrier-Synchronized Concurrent ASMs for Effective MapReduce Processing on Streams
Z Li, S He, Y Du, S González, KD Schewe
International Conference on Rigorous State-Based Methods, 3-16, 2021
2021
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