Прати
Zhenheng Tang
Наслов
Навело
Навело
Година
Deep learning identifies accurate burst locations in water distribution networks
X Zhou, Z Tang, W Xu, F Meng, X Chu, K Xin, G Fu
Water research 166, 115058, 2019
2192019
A distributed synchronous SGD algorithm with global Top-k sparsification for low bandwidth networks
S Shi, Q Wang, K Zhao, Z Tang, Y Wang, X Huang, X Chu
2019 IEEE 39th International Conference on Distributed Computing Systems …, 2019
1762019
Communication-efficient distributed deep learning: A comprehensive survey
Z Tang, S Shi, W Wang, B Li, X Chu
arXiv preprint arXiv:2003.06307, 2020
1672020
Benchmarking the Performance and Energy Efficiency of AI Accelerators for AI Training
Y Wang, Q Wang, S Shi, X He, Z Tang, K Zhao, X Chu
2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet …, 2020
102*2020
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
Z Tang, Y Zhang, S Shi, X He, B Han, X Chu
ICML 2022, 2022
1012022
GossipFL: A Decentralized Federated Learning Framework With Sparsified and Adaptive Communication
Z Tang, S Shi, B Li, X Chu
IEEE Transactions on Parallel and Distributed Systems 34 (3), 909-922, 2022
952022
The impact of GPU DVFS on the energy and performance of deep learning: An empirical study
Z Tang, Y Wang, Q Wang, X Chu
Proceedings of the Tenth ACM International Conference on Future Energy …, 2019
932019
A Convergence Analysis of Distributed SGD with Communication-Efficient Gradient Sparsification.
S Shi, K Zhao, Q Wang, Z Tang, X Chu
IJCAI, 3411-3417, 2019
882019
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks
C He, AD Shah, Z Tang, DFAN Sivashunmugam, K Bhogaraju, M Shimpi, ...
International Workshop on Trustable, Verifiable and Auditable Federated …, 2021
852021
Communication-efficient decentralized learning with sparsification and adaptive peer selection
Z Tang, S Shi, X Chu
2020 IEEE 40th International Conference on Distributed Computing Systems …, 2020
652020
A quantitative survey of communication optimizations in distributed deep learning
S Shi, Z Tang, X Chu, C Liu, W Wang, B Li
IEEE Network 35 (3), 230-237, 2020
502020
Deep learning identifies leak in water pipeline system using transient frequency response
Z Liao, H Yan, Z Tang, X Chu, T Tao
Process Safety and Environmental Protection 155, 355-365, 2021
422021
Layer-wise adaptive gradient sparsification for distributed deep learning with convergence guarantees
S Shi, Z Tang, Q Wang, K Zhao, X Chu
24th European Conference on Artificial Intelligence, ECAI 2020, 2019
342019
Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models
P Dong, L Li, Z Tang, X Liu, X Pan, Q Wang, X Chu
ICML 2024, 2024
302024
FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs
Z Tang, Y Wang, X He, L Zhang, X Pan, Q Wang, R Zeng, K Zhao, S Shi, ...
The 32nd International Joint Conference on Artificial Intelligence …, 2023
292023
BurstGPT: A Real-world Workload Dataset to Optimize LLM Serving Systems
Y Wang, Y Chen, Z Li, X Kang, Z Tang, X He, R Guo, X Wang, Q Wang, ...
arXiv preprint arXiv:2401.17644, 2024
24*2024
VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting
Y Tang, P Dong, Z Tang, X Chu, J Liang
CVPR Workshop 2024, 2024
222024
Data Resampling for Federated Learning with Non-IID Labels
Z Tang, Z Hu, S Shi, Y Cheung, Y Jin, Z Ren, X Chu
FTL-IJCAI 2021, 2021
202021
FedImpro: Measuring and Improving Client Update in Federated Learning
Z Tang, Y Zhang, S Shi, X Tian, T Liu, B Han, X Chu
ICLR 2024, 2024
162024
Computer-Aided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models
X He, S Wang, S Shi, Z Tang, Y Wang, Z Zhao, J Dai, R Ni, X Zhang, X Liu, ...
2019 IEEE International Conference on Big Data (Big Data), 4839-4844, 2019
152019
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Чланци 1–20