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2020 – today
- 2024
[j27]Bin Tang
, Bei Hu, Zhihao Qu, Baoliu Ye:
Optimized Power Control for Privacy-Preserving Over-the-Air Federated Edge Learning With Device Sampling. IEEE Internet Things J. 11(17): 29157-29173 (2024)- [j26]Yanyan Wang, Jia Liu, Zhihui Yang, Zhihao Qu, Nan Yu, Wei Xiang, Baoliu Ye:
A Protocol Stack for Large-Scale RFID Systems: Mitigating Reader and Tag Collisions. IEEE Internet Things J. 11(19): 30455-30468 (2024) - [j25]Yue Zeng, Zhihao Qu, Song Guo, Baoliu Ye, Jie Zhang, Jing Li, Bin Tang:
SafeDRL: Dynamic Microservice Provisioning With Reliability and Latency Guarantees in Edge Environments. IEEE Trans. Computers 73(1): 235-248 (2024) - [j24]Shihong Hu, Zhihao Qu, Bin Tang, Baoliu Ye, Guanghui Li, Weisong Shi:
Joint Service Request Scheduling and Container Retention in Serverless Edge Computing for Vehicle-Infrastructure Collaboration. IEEE Trans. Mob. Comput. 23(6): 6508-6521 (2024) - [c26]Wenxuan Zhou, Zhihao Qu, Shen-Huan Lyu, Miao Cai, Baoliu Ye:
Mask-Encoded Sparsification: Mitigating Biased Gradients in Communication-Efficient Split Learning. ECAI 2024: 2806-2813 - [c25]Yuepeng Li, Lin Gu, Zhihao Qu, Lifeng Tian, Deze Zeng:
On Efficient Zygote Container Planning and Task Scheduling for Edge Native Application Acceleration. INFOCOM 2024: 2259-2268 - [c24]Yanyan Wang, Jia Liu, Shen-Huan Lyu, Zhihao Qu, Bin Tang, Baoliu Ye:
Identifying Key Tag Distribution in Large-Scale RFID Systems. IWQoS 2024: 1-10 - [c23]Guangfei Qi, Zhihao Qu, Shen-Huan Lyu, Ninghui Jia, Baoliu Ye:
Personalized Federated Learning with Feature Alignment via Knowledge Distillation. PRICAI (2) 2024: 121-133 - [i5]Wenxuan Zhou, Zhihao Qu, Shen-Huan Lyu, Miao Cai, Baoliu Ye:
Mask-Encoded Sparsification: Mitigating Biased Gradients in Communication-Efficient Split Learning. CoRR abs/2408.13787 (2024) - 2023
- [j23]Bin Fan, Bin Tang, Zhihao Qu, Baoliu Ye:
Network Coding Approaches for Distributed Computation over Lossy Wireless Networks. Entropy 25(3): 428 (2023) - [j22]Lingyun Cui, Zhihao Qu, Guomin Zhang, Bin Tang, Baoliu Ye:
A bidirectional DNN partition mechanism for efficient pipeline parallel training in cloud. J. Cloud Comput. 12(1): 22 (2023) - [j21]Miao Cai, Junru Shen, Yifan Yuan, Zhihao Qu, Baoliu Ye:
BonsaiKV: Towards Fast, Scalable, and Persistent Key-Value Stores with Tiered, Heterogeneous Memory System. Proc. VLDB Endow. 17(4): 726-739 (2023) - [j20]Yue Zeng, Baoliu Ye, Bin Tang, Sanglu Lu, Feng Xu, Song Guo, Zhihao Qu:
Mobility-Aware Proactive Flow Setup in Software-Defined Mobile Edge Networks. IEEE Trans. Commun. 71(3): 1549-1563 (2023) - [j19]Feijie Wu, Song Guo, Haozhao Wang, Haobo Zhang, Zhihao Qu, Jie Zhang, Ziming Liu:
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization. IEEE Trans. Parallel Distributed Syst. 34(5): 1548-1559 (2023) - [j18]Yue Zeng, Zhihao Qu, Song Guo, Bin Tang, Baoliu Ye, Jing Li, Jie Zhang:
RuleDRL: Reliability-Aware SFC Provisioning With Bounded Approximations in Dynamic Environments. IEEE Trans. Serv. Comput. 16(5): 3651-3664 (2023) - [c22]Shunpeng Hua, Baoliu Ye, Yue Zeng, Zhihao Qu, Bin Tang:
Joint Controller Placement and Flow Assignment in Software-Defined Edge Networks. ICA3PP (5) 2023: 21-38 - [c21]Zaipeng Xie, Jianan Zhang, Yida Zhang, Chenghong Xu, Peng Chen, Zhihao Qu, WenZhan Song:
An Efficient Fault Tolerance Strategy for Multi-task MapReduce Models Using Coded Distributed Computing. ICA3PP (7) 2023: 253-271 - [c20]Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu, Jing Gao:
Anchor Sampling for Federated Learning with Partial Client Participation. ICML 2023: 37379-37416 - [c19]Shihong Hu, Zhihao Qu, Bin Tang, Baoliu Ye:
Joint Service Placement and Container Retention for Serverless-Based Vehicular Edge Computing. ICPADS 2023: 2286-2294 - [c18]Siyuan Zhou, Xiaofan Yu, Bin Tang, Zhihao Qu:
Handover Analysis with Spatially Correlated Blockage Model. MSN 2023: 143-150 - [c17]Wenzhong Wang, Zaipeng Xie, Bingzhe Yu, Zhihao Qu, Yufeng Zhang, Hongli Cao:
Federated Learning with Common Representation Learning Criterion and Personalized Predictor. SMC 2023: 2069-2074 - 2022
- [j17]Jie Zhang, Zhihao Qu, Chenxi Chen, Haozhao Wang, Yufeng Zhan, Baoliu Ye, Song Guo:
Edge Learning: The Enabling Technology for Distributed Big Data Analytics in the Edge. ACM Comput. Surv. 54(7): 151:1-151:36 (2022) - [j16]Haozhao Wang, Zhihao Qu, Qihua Zhou, Haobo Zhang, Boyuan Luo, Wenchao Xu, Song Guo, Ruixuan Li:
A Comprehensive Survey on Training Acceleration for Large Machine Learning Models in IoT. IEEE Internet Things J. 9(2): 939-963 (2022) - [j15]Lin Qian, Zhihao Qu, Miao Cai, Baoliu Ye, Xiaoliang Wang, Jianyu Wu, Weiguo Duan, Ming Zhao, Qiang Lin:
FastCache: A write-optimized edge storage system via concurrent merging cache for IoT applications. J. Syst. Archit. 131: 102718 (2022) - [j14]Haozhao Wang, Song Guo, Bin Tang, Ruixuan Li, Yutong Yang, Zhihao Qu, Yi Wang:
Heterogeneity-Aware Gradient Coding for Tolerating and Leveraging Stragglers. IEEE Trans. Computers 71(4): 779-794 (2022) - [j13]Jie Zhang, Song Guo, Zhihao Qu, Deze Zeng, Yufeng Zhan, Qifeng Liu, Rajendra Akerkar:
Adaptive Federated Learning on Non-IID Data With Resource Constraint. IEEE Trans. Computers 71(7): 1655-1667 (2022) - [j12]Haozhao Wang, Zhihao Qu, Song Guo, Xin Gao, Ruixuan Li, Baoliu Ye:
Intermittent Pulling With Local Compensation for Communication-Efficient Distributed Learning. IEEE Trans. Emerg. Top. Comput. 10(2): 779-791 (2022) - [j11]Zhihao Qu, Song Guo, Haozhao Wang, Baoliu Ye, Yi Wang, Albert Y. Zomaya, Bin Tang:
Partial Synchronization to Accelerate Federated Learning Over Relay-Assisted Edge Networks. IEEE Trans. Mob. Comput. 21(12): 4502-4516 (2022) - [j10]Haozhao Wang, Song Guo, Zhihao Qu, Ruixuan Li, Ziming Liu:
Error-Compensated Sparsification for Communication-Efficient Decentralized Training in Edge Environment. IEEE Trans. Parallel Distributed Syst. 33(1): 14-25 (2022) - [j9]Jie Zhang, Song Guo, Zhihao Qu, Deze Zeng, Haozhao Wang, Qifeng Liu, Albert Y. Zomaya:
Adaptive Vertical Federated Learning on Unbalanced Features. IEEE Trans. Parallel Distributed Syst. 33(10): 4006-4018 (2022) - [c16]Feijie Wu, Shiqi He, Song Guo, Zhihao Qu, Haozhao Wang, Weihua Zhuang, Jie Zhang:
Sign bit is enough: a learning synchronization framework for multi-hop all-reduce with ultimate compression. DAC 2022: 193-198 - [c15]Weiyong Yang, Peng Gao, Hao Huang, Xingshen Wei, Haotian Zhang, Zhihao Qu:
Advanced Persistent Threat Detection in Smart Grid Clouds Using Spatiotemporal Context-Aware Graph Embedding. GLOBECOM 2022: 534-540 - [c14]Siqi Huang, Deze Zeng, Zhihao Qu:
Toward Performance Efficient UAV Task Scheduling in Cloud Native Edge. GLOBECOM 2022: 4517-4522 - [c13]Zaipeng Xie, Junchen Jiang, Ruifeng Chen, Zhihao Qu, Hanxiang Liu:
FedDGIC: Reliable and Efficient Asynchronous Federated Learning with Gradient Compensation. ICPADS 2022: 98-105 - [c12]Qihua Zhou, Song Guo, Yi Liu, Jie Zhang, Jiewei Zhang, Tao Guo, Zhenda Xu, Xun Liu, Zhihao Qu:
Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning. NeurIPS 2022 - [c11]Wenxuan Zhou, Zhihao Qu, Yanchao Zhao, Bin Tang, Baoliu Ye:
An efficient split learning framework for recurrent neural network in mobile edge environment. RACS 2022: 131-138 - [c10]Zaipeng Xie, Yao Liu, Zhihao Qu, Bin Tang, Weiyi Zhao:
FedALP: An Adaptive Layer-Based Approach for Improved Personalized Federated Learning. WASA (2) 2022: 80-92 - [i4]Feijie Wu, Shiqi He, Song Guo, Zhihao Qu, Haozhao Wang, Weihua Zhuang, Jie Zhang:
Sign Bit is Enough: A Learning Synchronization Framework for Multi-hop All-reduce with Ultimate Compression. CoRR abs/2204.06787 (2022) - [i3]Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu:
Accelerating Federated Learning via Sampling Anchor Clients with Large Batches. CoRR abs/2206.05891 (2022) - 2021
- [j8]Yue Zeng, Baoliu Ye, Bin Tang, Songtao Guo, Zhihao Qu:
Scheduling coflows of multi-stage jobs under network resource constraints. Comput. Networks 184: 107686 (2021) - [j7]Qihua Zhou, Zhihao Qu, Song Guo, Boyuan Luo, Jingcai Guo, Zhenda Xu, Rajendra Akerkar:
On-Device Learning Systems for Edge Intelligence: A Software and Hardware Synergy Perspective. IEEE Internet Things J. 8(15): 11916-11934 (2021) - [j6]Haozhao Wang, Zhihao Qu, Song Guo, Ningqi Wang, Ruixuan Li, Weihua Zhuang:
LOSP: Overlap Synchronization Parallel With Local Compensation for Fast Distributed Training. IEEE J. Sel. Areas Commun. 39(8): 2541-2557 (2021) - [j5]Yufeng Zhan, Peng Li, Song Guo, Zhihao Qu:
Incentive Mechanism Design for Federated Learning: Challenges and Opportunities. IEEE Netw. 35(4): 310-317 (2021) - [j4]Qihua Zhou, Song Guo, Zhihao Qu, Peng Li, Li Li, Minyi Guo, Kun Wang:
Petrel: Heterogeneity-Aware Distributed Deep Learning Via Hybrid Synchronization. IEEE Trans. Parallel Distributed Syst. 32(5): 1030-1043 (2021) - [c9]Lin Qian, Baoliu Ye, Xiaoliang Wang, Zhihao Qu, Weiguo Duan, Ming Zhao:
FastCache: A Client-Side Cache with Variable-Position Merging Schema in Network Storage System. ICA3PP (2) 2021: 144-160 - [c8]Qihua Zhou, Song Guo, Zhihao Qu, Jingcai Guo, Zhenda Xu, Jiewei Zhang, Tao Guo, Boyuan Luo, Jingren Zhou:
Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning. USENIX ATC 2021: 177-191 - [c7]Ninghui Jia, Zhihao Qu, Baoliu Ye:
Communication-efficient Federated Learning via Quantized Clipped SGD. WASA (1) 2021: 559-571 - [i2]Feijie Wu, Song Guo, Haozhao Wang, Zhihao Qu, Haobo Zhang, Jie Zhang, Ziming Liu:
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization. CoRR abs/2112.09355 (2021) - 2020
- [j3]Tao Huang, Bin Tang, Baoliu Ye, Zhihao Qu, Sanglu Lu:
Rateless802.11: Extending WiFi applicability in extremely poor channels. Comput. Networks 179: 107361 (2020) - [j2]Yufeng Zhan, Peng Li, Zhihao Qu, Deze Zeng, Song Guo:
A Learning-Based Incentive Mechanism for Federated Learning. IEEE Internet Things J. 7(7): 6360-6368 (2020) - [j1]Zhihao Qu, Baoliu Ye, Bin Tang, Song Guo, Sanglu Lu, Weihua Zhuang:
Cooperative Caching for Multiple Bitrate Videos in Small Cell Edges. IEEE Trans. Mob. Comput. 19(2): 288-299 (2020) - [c6]Lei Zhang, Zhihao Qu, Baoliu Ye, Bin Tang:
Joint Service Placement and Computation Offloading in Mobile Edge Computing: An Auction-based Approach. ICPADS 2020: 256-265 - [c5]Yamei Dong, Bin Tang, Baoliu Ye, Zhihao Qu, Sanglu Lu:
Intermediate Value Size Aware Coded MapReduce. ICPADS 2020: 348-355 - [c4]Tao Huang, Baoliu Ye, Zhihao Qu, Bin Tang, Lei Xie, Sanglu Lu:
Physical-Layer Arithmetic for Federated Learning in Uplink MU-MIMO Enabled Wireless Networks. INFOCOM 2020: 1221-1230 - [i1]Haozhao Wang, Zhihao Qu, Song Guo, Xin Gao, Ruixuan Li, Baoliu Ye:
Intermittent Pulling with Local Compensation for Communication-Efficient Federated Learning. CoRR abs/2001.08277 (2020)
2010 – 2019
- 2019
- [c3]Jie Zhang, Song Guo, Deze Zeng, Zhihao Qu:
Multi-Path Routing Oriented Flow Statistics Collection in Software Defined Networks. ICPADS 2019: 101-108 - 2015
- [c2]Zhihao Qu, Baoliu Ye, Bin Tang, Sanglu Lu:
Fast Cooperative Content Distribution over Hybrid Wireless Networks. GLOBECOM 2015: 1-6 - [c1]Zhihao Qu, Baoliu Ye, Bin Tang, Sanglu Lu, Song Guo:
Energy-Aware Cost-Effective Cooperative Mobile Streaming on Smartphones over Hybrid Wireless Networks. ICPP 2015: 240-249
Coauthor Index
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