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2020 – today
- 2024
[j9]Yuchen Shi
, Pingyi Fan, Zheqi Zhu, Chenghui Peng, Fei Wang, Khaled B. Letaief:
SAM: An Efficient Approach With Selective Aggregation of Models in Federated Learning. IEEE Internet Things J. 11(11): 20769-20783 (2024)- [j8]Zheqi Zhu, Yuchen Shi, Pingyi Fan, Chenghui Peng, Khaled B. Letaief:
ISFL: Federated Learning for Non-i.i.d. Data With Local Importance Sampling. IEEE Internet Things J. 11(16): 27448-27462 (2024) - [c10]Yuchen Shi, Pingyi Fan, Zheqi Zhu, Chenghui Peng, Fei Wang, Khaled B. Letaief:
Towards Efficient Federated Learning Framework via Selective Aggregation of Models. ICC Workshops 2024: 99-104 - [c9]Yuchen Shi, Zheqi Zhu, Pingyi Fan, Khaled B. Letaief, Chenghui Peng:
FedNC: A Secure and Efficient Federated Learning Method with Network Coding. WCNC 2024: 1-6 - 2023
- [j7]Zheqi Zhu, Yuchen Shi, Gangtao Xin, Chenghui Peng, Pingyi Fan, Khaled B. Letaief:
Towards Efficient Federated Learning: Layer-Wise Pruning-Quantization Scheme and Coding Design. Entropy 25(8): 1205 (2023) - [c8]Zheqi Zhu, Pingyi Fan, Chenghui Peng, Khaled B. Letaief:
Enhanced Federated Learning on Non-Iid Data via Local Importance Sampling. ICC Workshops 2023: 104-109 - [c7]Zheqi Zhu, Yuchen Shi, Jiajun Luo, Fei Wang, Chenghui Peng, Pingyi Fan, Khaled B. Letaief:
FedLP: Layer-Wise Pruning Mechanism for Communication-Computation Efficient Federated Learning. ICC 2023: 1250-1255 - [c6]Gangtao Xin, Zheqi Zhu, Pingyi Fan:
Information Framework Expansion Meets Knowledge Collision for Semantic Communications. ICC 2023: 6096-6101 - [c5]Zheqi Zhu, Wenjie Cheng, Yu Zeng, Kuikui Li, Chong Lou, Qinghai Zeng, Zhifang Gu:
Efficient Split Learning for Collaborative Intelligence in Next-generation Mobile Networks. VTC Fall 2023: 1-6 - [i7]Zheqi Zhu, Yuchen Shi, Jiajun Luo, Fei Wang, Chenghui Peng, Pingyi Fan, Khaled B. Letaief:
FedLP: Layer-wise Pruning Mechanism for Communication-Computation Efficient Federated Learning. CoRR abs/2303.06360 (2023) - [i6]Yuchen Shi, Zheqi Zhu, Pingyi Fan, Khaled B. Letaief, Chenghui Peng:
FedNC: A Secure and Efficient Federated Learning Method Inspired by Network Coding. CoRR abs/2305.03292 (2023) - 2022
- [j6]Zheqi Zhu, Shuo Wan, Pingyi Fan, Khaled B. Letaief:
Federated Multiagent Actor-Critic Learning for Age Sensitive Mobile-Edge Computing. IEEE Internet Things J. 9(2): 1053-1067 (2022) - [c4]Zheqi Zhu, Pingyi Fan, Khaled B. Letaief:
Diversity Learning: Introducing the Space-time Scheme to Ensemble Learning. WCNC 2022: 2381-2386 - [i5]Zheqi Zhu, Pingyi Fan, Chenghui Peng, Khaled B. Letaief:
ISFL: Trustworthy Federated Learning for Non-i.i.d. Data with Local Importance Sampling. CoRR abs/2210.02119 (2022) - 2021
- [j5]Gangtao Xin, Zhefan Li, Zheqi Zhu, Shuo Wan, Pingyi Fan, Khaled Ben Letaief:
Soft Compression: An Approach to Shape Coding for Images. IEEE Commun. Lett. 25(3): 798-801 (2021) - [c3]Zheqi Zhu, Shuo Wan, Pingyi Fan, Khaled B. Letaief:
An Edge Federated MARL Approach for Timeliness Maintenance in MEC Collaboration. ICC Workshops 2021: 1-6 - [c2]Yuchen Shi, Pingyi Fan, Zheqi Zhu, Khaled B. Letaief:
MIM-CS: Message Importance Measure for Compressed Sensing. MeditCom 2021: 437-442 - 2020
- [j4]Shanyun Liu, Rui She, Zheqi Zhu, Pingyi Fan:
Storage Space Allocation Strategy for Digital Data with Message Importance. Entropy 22(5): 591 (2020) - [j3]Zheqi Zhu, Shanyun Liu, Rui She, Shuo Wan, Pingyi Fan, Khaled B. Letaief:
An Importance Aware Weighted Coding Theorem Using Message Importance Measure. IEEE Commun. Lett. 24(8): 1598-1601 (2020) - [i4]Shanyun Liu, Rui She, Zheqi Zhu, Pingyi Fan:
Storage Space Allocation Strategy for Digital Data with Message Importance. CoRR abs/2002.08428 (2020) - [i3]Zheqi Zhu, Shanyun Liu, Rui She, Shuo Wan, Pingyi Fan, Khaled B. Letaief:
An Importance Aware Weighted Coding Theorem Using Message Importance Measure. CoRR abs/2005.10718 (2020) - [i2]Zheqi Zhu, Shuo Wan, Pingyi Fan, Khaled B. Letaief:
Federated Multi-Agent Actor-Critic Learning for Age Sensitive Mobile Edge Computing. CoRR abs/2012.14137 (2020)
2010 – 2019
- 2019
- [c1]Zheqi Zhu, Pingyi Fan:
Machine Learning Based Prediction and Classification of Computational Jobs in Cloud Computing Centers. IWCMC 2019: 1482-1487 - [i1]Zheqi Zhu, Pingyi Fan:
Machine Learning Based Prediction and Classification of Computational Jobs in Cloud Computing Centers. CoRR abs/1903.03759 (2019) - 2018
- [j2]Xinlei Chen, Zheqi Zhu, Min Chen, Yong Li:
Large-Scale Mobile Fitness App Usage Analysis for Smart Health. IEEE Commun. Mag. 56(4): 46-52 (2018) - [j1]Zheqi Zhu, Nariaki Nishino:
Research on Willingness to Pay of Internet of Vehicles. Int. J. Autom. Technol. 12(3): 308-318 (2018)
Coauthor Index
aka: Khaled B. Letaief
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