| 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 | 11 | 2023 |
| 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 | 9 | 2024 |
| 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, ... Computational and Structural Biotechnology Journal 28, 29 - 39, 2024 | 7 | 2024 |
| 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 | 7 | 2022 |
| 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 | 4 | 2024 |
| Advances in APPFL: A comprehensive and extensible federated learning framework Z Li, S He, Z Yang, M Ryu, K Kim, R Madduri arXiv preprint arXiv:2409.11585, 2024 | 3 | 2024 |
| FedSpaLLM: Federated pruning of large language models G Bai, Y Li, Z Li, L Zhao, K Kim NAACL 2025, 2024 | 2 | 2024 |
| ViCTer: A semi-supervised video character tracker Z Li, X Wang, Z Zhang, V Kindratenko Machine Learning with Applications 12, 100460, 2023 | 2 | 2023 |
| 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 | 2 | 2023 |
| 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 | 1 | 2024 |
| 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 |
Kibaek KimArgonne National Laboratory確認したメール アドレス: anl.gov