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Khalid Ayedh Alharthi
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2020 – today
- 2024
- [c4]Haotian Xu, Zhaorui Zhang, Sheng Di, Benben Liu, Khalid Ayedh Alharthi, Jiannong Cao:
FedFa: A Fully Asynchronous Training Paradigm for Federated Learning. IJCAI 2024: 5281-5288 - [i2]Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Robert Underwood, Zhaorui Zhang, Milan Shah, Yafan Huang, Jiajun Huang, Xiaodong Yu, Congrong Ren, Hanqi Guo, Grant Wilkins, Dingwen Tao, Jiannan Tian, Sian Jin, Zizhe Jian, Daoce Wang, Md Hasanur Rahman, Boyuan Zhang, Jon C. Calhoun, Guanpeng Li, Kazutomo Yoshii, Khalid Ayedh Alharthi, Franck Cappello:
A Survey on Error-Bounded Lossy Compression for Scientific Datasets. CoRR abs/2404.02840 (2024) - [i1]Haotian Xu, Zhaorui Zhang, Sheng Di, Benben Liu, Khalid Ayedh Alharthi, Jiannong Cao:
FedFa: A Fully Asynchronous Training Paradigm for Federated Learning. CoRR abs/2404.11015 (2024) - 2023
- [c3]Khalid Ayedh Alharthi, Arshad Jhumka, Sheng Di, Lin Gui, Franck Cappello, Simon McIntosh-Smith:
Time Machine: Generative Real-Time Model for Failure (and Lead Time) Prediction in HPC Systems. DSN 2023: 508-521 - 2022
- [c2]Khalid Ayedh Alharthi, Arshad Jhumka, Sheng Di, Franck Cappello:
Clairvoyant: a log-based transformer-decoder for failure prediction in large-scale systems. ICS 2022: 35:1-35:14 - 2021
- [c1]Khalid Ayedh Alharthi, Arshad Jhumka, Sheng Di, Franck Cappello, Edward Chuah:
Sentiment Analysis based Error Detection for Large-Scale Systems. DSN 2021: 237-249
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last updated on 2024-11-14 00:51 CET by the dblp team
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