受强制性开放获取政策约束的文章 - Zhen Zhang了解详情
无法在其他位置公开访问的文章：1 篇
: Efficient Resource Disaggregation for Deep Learning Workloads
X Jin, Z Bai, Z Zhang, Y Zhu, Y Zhong, X Liu
IEEE/ACM Transactions on Networking, 2024
强制性开放获取政策： 国家自然科学基金委员会
可在其他位置公开访问的文章：5 篇
Is network the bottleneck of distributed training?
Z Zhang, C Chang, H Lin, Y Wang, R Arora, X Jin
Proceedings of the Workshop on Network Meets AI & ML, 8-13, 2020
强制性开放获取政策： US National Science Foundation
Gemini: Fast failure recovery in distributed training with in-memory checkpoints
Z Wang, Z Jia, S Zheng, Z Zhang, X Fu, TSE Ng, Y Wang
Proceedings of the 29th Symposium on Operating Systems Principles, 364-381, 2023
强制性开放获取政策： US National Science Foundation
Oobleck: Resilient distributed training of large models using pipeline templates
I Jang, Z Yang, Z Zhang, X Jin, M Chowdhury
Proceedings of the 29th Symposium on Operating Systems Principles, 382-395, 2023
强制性开放获取政策： US National Science Foundation
TKPERM: cross-platform permission knowledge transfer to detect overprivileged third-party applications
FH Shezan, K Cheng, Z Zhang, Y Cao, Y Tian
Network and Distributed Systems Security (NDSS) Symposium, 2020
强制性开放获取政策： US National Science Foundation
Towards a secure zero-rating framework with three parties
Z Liu, Z Zhang, Y Cao, Z Xi, S Jing, H La Roche
27th USENIX Security Symposium (USENIX Security 18), 711-728, 2018
强制性开放获取政策： US National Science Foundation
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