Zhihao Qu

According to our database, Zhihao Qu authored at least 54 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Protocol Stack for Large-Scale RFID Systems: Mitigating Reader and Tag Collisions.

Yanyan Wang, Jia Liu, Zhihui Yang, Zhihao Qu, Nan Yu, Wei Xiang, Baoliu Ye

IEEE Internet Things J., October, 2024

Optimized Power Control for Privacy-Preserving Over-the-Air Federated Edge Learning With Device Sampling.

Bin Tang, Bei Hu, Zhihao Qu, Baoliu Ye

IEEE Internet Things J., September, 2024

Joint Service Request Scheduling and Container Retention in Serverless Edge Computing for Vehicle-Infrastructure Collaboration.

Shihong Hu, Zhihao Qu, Bin Tang, Baoliu Ye, Guanghui Li, Weisong Shi

IEEE Trans. Mob. Comput., June, 2024

SafeDRL: Dynamic Microservice Provisioning With Reliability and Latency Guarantees in Edge Environments.

Yue Zeng, Zhihao Qu, Song Guo, Baoliu Ye, Jie Zhang, Jing Li, Bin Tang

IEEE Trans. Computers, January, 2024

Identifying Key Tag Distribution in Large-Scale RFID Systems.

Yanyan Wang, Jia Liu, Shen-Huan Lyu, Zhihao Qu, Bin Tang, Baoliu Ye

Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

On Efficient Zygote Container Planning and Task Scheduling for Edge Native Application Acceleration.

Yuepeng Li, Lin Gu, Zhihao Qu, Lifeng Tian, Deze Zeng

Proceedings of the IEEE INFOCOM 2024, 2024

Mask-Encoded Sparsification: Mitigating Biased Gradients in Communication-Efficient Split Learning.

Wenxuan Zhou, Zhihao Qu, Shen-Huan Lyu, Miao Cai, Baoliu Ye

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

BonsaiKV: Towards Fast, Scalable, and Persistent Key-Value Stores with Tiered, Heterogeneous Memory System.

Miao Cai, Junru Shen, Yifan Yuan, Zhihao Qu, Baoliu Ye

Proc. VLDB Endow., December, 2023

A bidirectional DNN partition mechanism for efficient pipeline parallel training in cloud.

Lingyun Cui, Zhihao Qu, Guomin Zhang, Bin Tang, Baoliu Ye

J. Cloud Comput., December, 2023

From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization.

Feijie Wu, Song Guo, Haozhao Wang, Haobo Zhang, Zhihao Qu, Jie Zhang, Ziming Liu

IEEE Trans. Parallel Distributed Syst., May, 2023

Mobility-Aware Proactive Flow Setup in Software-Defined Mobile Edge Networks.

Yue Zeng, Baoliu Ye, Bin Tang, Sanglu Lu, Feng Xu, Song Guo, Zhihao Qu

IEEE Trans. Commun., March, 2023

Network Coding Approaches for Distributed Computation over Lossy Wireless Networks.

Bin Fan, Bin Tang, Zhihao Qu, Baoliu Ye

Entropy, March, 2023

RuleDRL: Reliability-Aware SFC Provisioning With Bounded Approximations in Dynamic Environments.

Yue Zeng, Zhihao Qu, Song Guo, Bin Tang, Baoliu Ye, Jing Li, Jie Zhang

IEEE Trans. Serv. Comput., 2023

Federated Learning with Common Representation Learning Criterion and Personalized Predictor.

Wenzhong Wang, Zaipeng Xie, Bingzhe Yu, Zhihao Qu, Yufeng Zhang, Hongli Cao

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Handover Analysis with Spatially Correlated Blockage Model.

Siyuan Zhou, Xiaofan Yu, Bin Tang, Zhihao Qu

Proceedings of the 19th International Conference on Mobility, Sensing and Networking, 2023

Joint Service Placement and Container Retention for Serverless-Based Vehicular Edge Computing.

Shihong Hu, Zhihao Qu, Bin Tang, Baoliu Ye

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Anchor Sampling for Federated Learning with Partial Client Participation.

Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu, Jing Gao

Proceedings of the International Conference on Machine Learning, 2023

An Efficient Fault Tolerance Strategy for Multi-task MapReduce Models Using Coded Distributed Computing.

Zaipeng Xie, Jianan Zhang, Yida Zhang, Chenghong Xu, Peng Chen, Zhihao Qu, WenZhan Song

Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

Joint Controller Placement and Flow Assignment in Software-Defined Edge Networks.

Shunpeng Hua, Baoliu Ye, Yue Zeng, Zhihao Qu, Bin Tang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

2022

Adaptive Vertical Federated Learning on Unbalanced Features.

Jie Zhang, Song Guo, Zhihao Qu, Deze Zeng, Haozhao Wang, Qifeng Liu, Albert Y. Zomaya

IEEE Trans. Parallel Distributed Syst., 2022

Error-Compensated Sparsification for Communication-Efficient Decentralized Training in Edge Environment.

Haozhao Wang, Song Guo, Zhihao Qu, Ruixuan Li, Ziming Liu

IEEE Trans. Parallel Distributed Syst., 2022

Partial Synchronization to Accelerate Federated Learning Over Relay-Assisted Edge Networks.

Zhihao Qu, Song Guo, Haozhao Wang, Baoliu Ye, Yi Wang, Albert Y. Zomaya, Bin Tang

IEEE Trans. Mob. Comput., 2022

Intermittent Pulling With Local Compensation for Communication-Efficient Distributed Learning.

Haozhao Wang, Zhihao Qu, Song Guo, Xin Gao, Ruixuan Li, Baoliu Ye

IEEE Trans. Emerg. Top. Comput., 2022

Adaptive Federated Learning on Non-IID Data With Resource Constraint.

Jie Zhang, Song Guo, Zhihao Qu, Deze Zeng, Yufeng Zhan, Qifeng Liu, Rajendra Akerkar

IEEE Trans. Computers, 2022

Heterogeneity-Aware Gradient Coding for Tolerating and Leveraging Stragglers.

Haozhao Wang, Song Guo, Bin Tang, Ruixuan Li, Yutong Yang, Zhihao Qu, Yi Wang

IEEE Trans. Computers, 2022

FastCache: A write-optimized edge storage system via concurrent merging cache for IoT applications.

Lin Qian, Zhihao Qu, Miao Cai, Baoliu Ye, Xiaoliang Wang, Jianyu Wu, Weiguo Duan, Ming Zhao, Qiang Lin

J. Syst. Archit., 2022

A Comprehensive Survey on Training Acceleration for Large Machine Learning Models in IoT.

Haozhao Wang, Zhihao Qu, Qihua Zhou, Haobo Zhang, Boyuan Luo, Wenchao Xu, Song Guo, Ruixuan Li

IEEE Internet Things J., 2022

Edge Learning: The Enabling Technology for Distributed Big Data Analytics in the Edge.

Jie Zhang, Zhihao Qu, Chenxi Chen, Haozhao Wang, Yufeng Zhan, Baoliu Ye, Song Guo

ACM Comput. Surv., 2022

Accelerating Federated Learning via Sampling Anchor Clients with Large Batches.

Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu

CoRR, 2022

FedALP: An Adaptive Layer-Based Approach for Improved Personalized Federated Learning.

Zaipeng Xie, Yao Liu, Zhihao Qu, Bin Tang, Weiyi Zhao

Proceedings of the Wireless Algorithms, Systems, and Applications, 2022

An efficient split learning framework for recurrent neural network in mobile edge environment.

Wenxuan Zhou, Zhihao Qu, Yanchao Zhao, Bin Tang, Baoliu Ye

Proceedings of the Conference on Research in Adaptive and Convergent Systems, 2022

Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning.

Qihua Zhou, Song Guo, Yi Liu, Jie Zhang, Jiewei Zhang, Tao Guo, Zhenda Xu, Xun Liu, Zhihao Qu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FedDGIC: Reliable and Efficient Asynchronous Federated Learning with Gradient Compensation.

Zaipeng Xie, Junchen Jiang, Ruifeng Chen, Zhihao Qu, Hanxiang Liu

Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022

Advanced Persistent Threat Detection in Smart Grid Clouds Using Spatiotemporal Context-Aware Graph Embedding.

Weiyong Yang, Peng Gao, Hao Huang, Xingshen Wei, Haotian Zhang, Zhihao Qu

Proceedings of the IEEE Global Communications Conference, 2022

Toward Performance Efficient UAV Task Scheduling in Cloud Native Edge.

Siqi Huang, Deze Zeng, Zhihao Qu

Proceedings of the IEEE Global Communications Conference, 2022

Sign bit is enough: a learning synchronization framework for multi-hop all-reduce with ultimate compression.

Feijie Wu, Shiqi He, Song Guo, Zhihao Qu, Haozhao Wang, Weihua Zhuang, Jie Zhang

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Petrel: Heterogeneity-Aware Distributed Deep Learning Via Hybrid Synchronization.

Qihua Zhou, Song Guo, Zhihao Qu, Peng Li, Li Li, Minyi Guo, Kun Wang

IEEE Trans. Parallel Distributed Syst., 2021

Incentive Mechanism Design for Federated Learning: Challenges and Opportunities.

Yufeng Zhan, Peng Li, Song Guo, Zhihao Qu

IEEE Netw., 2021

LOSP: Overlap Synchronization Parallel With Local Compensation for Fast Distributed Training.

Haozhao Wang, Zhihao Qu, Song Guo, Ningqi Wang, Ruixuan Li, Weihua Zhuang

IEEE J. Sel. Areas Commun., 2021

On-Device Learning Systems for Edge Intelligence: A Software and Hardware Synergy Perspective.

Qihua Zhou, Zhihao Qu, Song Guo, Boyuan Luo, Jingcai Guo, Zhenda Xu, Rajendra Akerkar

IEEE Internet Things J., 2021

Scheduling coflows of multi-stage jobs under network resource constraints.

Yue Zeng, Baoliu Ye, Bin Tang, Songtao Guo, Zhihao Qu

Comput. Networks, 2021

Communication-efficient Federated Learning via Quantized Clipped SGD.

Ninghui Jia, Zhihao Qu, Baoliu Ye

Proceedings of the Wireless Algorithms, Systems, and Applications, 2021

Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning.

Qihua Zhou, Song Guo, Zhihao Qu, Jingcai Guo, Zhenda Xu, Jiewei Zhang, Tao Guo, Boyuan Luo, Jingren Zhou

Proceedings of the 2021 USENIX Annual Technical Conference, 2021

FastCache: A Client-Side Cache with Variable-Position Merging Schema in Network Storage System.

Lin Qian, Baoliu Ye, Xiaoliang Wang, Zhihao Qu, Weiguo Duan, Ming Zhao

Proceedings of the Algorithms and Architectures for Parallel Processing, 2021

2020

Cooperative Caching for Multiple Bitrate Videos in Small Cell Edges.

Zhihao Qu, Baoliu Ye, Bin Tang, Song Guo, Sanglu Lu, Weihua Zhuang

IEEE Trans. Mob. Comput., 2020

A Learning-Based Incentive Mechanism for Federated Learning.

Yufeng Zhan, Peng Li, Zhihao Qu, Deze Zeng, Song Guo

IEEE Internet Things J., 2020

Intermittent Pulling with Local Compensation for Communication-Efficient Federated Learning.

Haozhao Wang, Zhihao Qu, Song Guo, Xin Gao, Ruixuan Li, Baoliu Ye

CoRR, 2020

Rateless802.11: Extending WiFi applicability in extremely poor channels.

Tao Huang, Bin Tang, Baoliu Ye, Zhihao Qu, Sanglu Lu

Comput. Networks, 2020

Physical-Layer Arithmetic for Federated Learning in Uplink MU-MIMO Enabled Wireless Networks.

Tao Huang, Baoliu Ye, Zhihao Qu, Bin Tang, Lei Xie, Sanglu Lu

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Joint Service Placement and Computation Offloading in Mobile Edge Computing: An Auction-based Approach.

Lei Zhang, Zhihao Qu, Baoliu Ye, Bin Tang

Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

Intermediate Value Size Aware Coded MapReduce.

Yamei Dong, Bin Tang, Baoliu Ye, Zhihao Qu, Sanglu Lu

Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

2019

Multi-Path Routing Oriented Flow Statistics Collection in Software Defined Networks.

Jie Zhang, Song Guo, Deze Zeng, Zhihao Qu

Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

2015

Energy-Aware Cost-Effective Cooperative Mobile Streaming on Smartphones over Hybrid Wireless Networks.

Zhihao Qu, Baoliu Ye, Bin Tang, Sanglu Lu, Song Guo

Proceedings of the 44th International Conference on Parallel Processing, 2015

Fast Cooperative Content Distribution over Hybrid Wireless Networks.

Zhihao Qu, Baoliu Ye, Bin Tang, Sanglu Lu

Proceedings of the 2015 IEEE Global Communications Conference, 2015