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zhihao qu
zhihao qu
Verified email at hhu.edu.cn
Title
Cited by
Cited by
Year
A learning-based incentive mechanism for federated learning
Y Zhan, P Li, Z Qu, D Zeng, S Guo
IEEE Internet of Things Journal 7 (7), 6360-6368, 2020
4872020
Adaptive federated learning on non-iid data with resource constraint
J Zhang, S Guo, Z Qu, D Zeng, Y Zhan, Q Liu, R Akerkar
IEEE Transactions on Computers 71 (7), 1655-1667, 2021
782021
On-device learning systems for edge intelligence: A software and hardware synergy perspective
Q Zhou, Z Qu, S Guo, B Luo, J Guo, Z Xu, R Akerkar
IEEE Internet of Things Journal 8 (15), 11916-11934, 2021
432021
Edge learning: The enabling technology for distributed big data analytics in the edge
J Zhang, Z Qu, C Chen, H Wang, Y Zhan, B Ye, S Guo
ACM Computing Surveys (CSUR) 54 (7), 1-36, 2021
412021
Cooperative caching for multiple bitrate videos in small cell edges
Z Qu, B Ye, B Tang, S Guo, S Lu, W Zhuang
IEEE Transactions on Mobile Computing 19 (2), 288-299, 2019
402019
Incentive mechanism design for federated learning: Challenges and opportunities
Y Zhan, P Li, S Guo, Z Qu
IEEE network 35 (4), 310-317, 2021
372021
Partial synchronization to accelerate federated learning over relay-assisted edge networks
Z Qu, S Guo, H Wang, B Ye, Y Wang, AY Zomaya, B Tang
IEEE Transactions on Mobile Computing 21 (12), 4502-4516, 2021
342021
Octo:{INT8} training with loss-aware compensation and backward quantization for tiny on-device learning
Q Zhou, S Guo, Z Qu, J Guo, Z Xu, J Zhang, T Guo, B Luo, J Zhou
2021 USENIX Annual Technical Conference (USENIX ATC 21), 177-191, 2021
332021
Physical-layer arithmetic for federated learning in uplink MU-MIMO enabled wireless networks
T Huang, B Ye, Z Qu, B Tang, L Xie, S Lu
IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 1221-1230, 2020
262020
A comprehensive survey on training acceleration for large machine learning models in IoT
H Wang, Z Qu, Q Zhou, H Zhang, B Luo, W Xu, S Guo, R Li
IEEE Internet of Things Journal 9 (2), 939-963, 2021
242021
Petrel: Heterogeneity-aware distributed deep learning via hybrid synchronization
Q Zhou, S Guo, Z Qu, P Li, L Li, M Guo, K Wang
IEEE Transactions on Parallel and Distributed Systems 32 (5), 1030-1043, 2020
232020
Adaptive vertical federated learning on unbalanced features
J Zhang, S Guo, Z Qu, D Zeng, H Wang, Q Liu, AY Zomaya
IEEE Transactions on Parallel and Distributed Systems 33 (12), 4006-4018, 2022
222022
Fecal microbiota transplantation for diseases: Therapeutic potential, methodology, risk management in clinical practice
Z Qu, P Tian, B Yang, J Zhao, G Wang, W Chen
Life Sciences 304, 120719, 2022
202022
Error-compensated sparsification for communication-efficient decentralized training in edge environment
H Wang, S Guo, Z Qu, R Li, Z Liu
IEEE Transactions on Parallel and Distributed Systems 33 (1), 14-25, 2021
202021
Intermittent pulling with local compensation for communication-efficient distributed learning
H Wang, Z Qu, S Guo, X Gao, R Li, B Ye
IEEE Transactions on Emerging Topics in Computing 10 (2), 779-791, 2020
162020
Mobility-aware proactive flow setup in software-defined mobile edge networks
Y Zeng, B Ye, B Tang, S Lu, F Xu, S Guo, Z Qu
IEEE Transactions on Communications 71 (3), 1549-1563, 2023
92023
LOSP: Overlap synchronization parallel with local compensation for fast distributed training
H Wang, Z Qu, S Guo, N Wang, R Li, W Zhuang
IEEE Journal on Selected Areas in Communications 39 (8), 2541-2557, 2021
92021
Heterogeneity-aware gradient coding for tolerating and leveraging stragglers
H Wang, S Guo, B Tang, R Li, Y Yang, Z Qu, Y Wang
IEEE Transactions on Computers 71 (4), 779-794, 2021
82021
Scheduling coflows of multi-stage jobs under network resource constraints
Y Zeng, B Ye, B Tang, S Guo, Z Qu
Computer Networks 184, 107686, 2021
82021
Joint service placement and computation offloading in mobile edge computing: an auction-based approach
L Zhang, Z Qu, B Ye, B Tang
2020 IEEE 26th International Conference on Parallel and Distributed Systems …, 2020
72020
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Articles 1–20