Shiqiang Wang

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 124

Top Venues

CoRR

INFOCOM

IEEE J. Sel. Areas Commun.

ICDCS

Publications

Bing Luo, Wenli Xiao, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas
Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks. CoRR (2024)
Xiaonan Liu, Shiqiang Wang, Yansha Deng, Arumugam Nallanathan
Adaptive Federated Pruning in Hierarchical Wireless Networks. IEEE Trans. Wirel. Commun. 23 (6) (2024)
Hanjing Wang, Shiqiang Wang, Qiang Ji
Semantic Attribution for Explainable Uncertainty Quantification. Epi UAI (2024)
Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi
FedFisher: Leveraging Fisher Information for One-Shot Federated Learning. AISTATS (2024)
Shiqiang Wang, Mingyue Ji
A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging. ICLR (2024)
Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi
FedFisher: Leveraging Fisher Information for One-Shot Federated Learning. CoRR (2024)
Evan Chen, Shiqiang Wang, Christopher G. Brinton
Taming Subnet-Drift in D2D-Enabled Fog Learning: A Hierarchical Gradient Tracking Approach. INFOCOM (2024)
Xiaonan Liu, Shiqiang Wang, Yansha Deng, Arumugam Nallanathan
Adaptive Model Pruning for Hierarchical Wireless Federated Learning. WCNC (2024)
Chong Yu, Shuaiqi Shen, Shiqiang Wang, Kuan Zhang, Hai Zhao
Communication-Efficient Hybrid Federated Learning for E-health with Horizontal and Vertical Data Partitioning. CoRR (2024)
Guojun Xiong, Gang Yan, Shiqiang Wang, Jian Li
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations. AAAI (2024)
Pengchao Han, Shiqiang Wang, Yang Jiao, Jianwei Huang
Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization. INFOCOM (2024)
Jiayi Wang, Shiqiang Wang, Rong-Rong Chen, Mingyue Ji
Rethinking the Data Heterogeneity in Federated Learning. ACSSC (2023)
Shihao Shen, Yiwen Han, Xiaofei Wang, Shiqiang Wang, Victor C. M. Leung
Collaborative Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud Network. IEEE/ACM Trans. Netw. 31 (6) (2023)
Timothy Castiglia, Yi Zhou, Shiqiang Wang, Swanand Kadhe, Nathalie Baracaldo, Stacy Patterson
LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning. CoRR (2023)
Bing Luo, Yutong Feng, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas
Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation. ICDCS (2023)
Hanjing Wang, Dhiraj Joshi, Shiqiang Wang, Qiang Ji
Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning. CVPR (2023)
Guojun Xiong, Gang Yan, Shiqiang Wang, Jian Li
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations. CoRR (2023)
Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi
FedExP: Speeding Up Federated Averaging via Extrapolation. ICLR (2023)
Jungwuk Park, Dong-Jun Han, Jinho Kim, Shiqiang Wang, Christopher G. Brinton, Jaekyun Moon
StableFDG: Style and Attention Based Learning for Federated Domain Generalization. CoRR (2023)
Zheyu Chen, Kin K. Leung, Shiqiang Wang, Leandros Tassiulas, Kevin S. Chan, Patrick J. Baker
Learning Technique to Solve Periodic Markov Decision Process for Network Resource Allocation. MILCOM (2023)
Cho-Chun Chiu, Xusheng Zhang, Ting He, Shiqiang Wang, Ananthram Swami
Laplacian Matrix Sampling for Communication- Efficient Decentralized Learning. IEEE J. Sel. Areas Commun. 41 (4) (2023)
Timothy Castiglia, Yi Zhou, Shiqiang Wang, Swanand Kadhe, Nathalie Baracaldo, Stacy Patterson
LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning. ICML (2023)
Shiqiang Wang, Mingyue Ji
A Lightweight Method for Tackling Unknown Participation Probabilities in Federated Averaging. CoRR (2023)
Zheyu Chen, Kin K. Leung, Shiqiang Wang, Leandros Tassiulas, Kevin S. Chan, Patrick J. Baker
Reinforcement Learning for Resource Allocation with Periodic Traffic Patterns. ICC Workshops (2023)
Guojun Xiong, Gang Yan, Shiqiang Wang, Jian Li
Straggler-Resilient Decentralized Learning via Adaptive Asynchronous Updates. CoRR (2023)
Jungwuk Park, Dong-Jun Han, Jinho Kim, Shiqiang Wang, Christopher G. Brinton, Jaekyun Moon
StableFDG: Style and Attention Based Learning for Federated Domain Generalization. NeurIPS (2023)
Shihao Shen, Yiwen Han, Xiaofei Wang, Shiqiang Wang, Victor C. M. Leung
Collaborative Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud Network. CoRR (2023)
Xiaonan Liu, Shiqiang Wang, Yansha Deng, Arumugam Nallanathan
Adaptive Federated Pruning in Hierarchical Wireless Networks. CoRR (2023)
Evan Chen, Shiqiang Wang, Christopher G. Brinton
Taming Subnet-Drift in D2D-Enabled Fog Learning: A Hierarchical Gradient Tracking Approach. CoRR (2023)
Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi
FedExP: Speeding up Federated Averaging Via Extrapolation. CoRR (2023)
Zheyu Chen, Kin K. Leung, Shiqiang Wang, Leandros Tassiulas, Kevin S. Chan, Don Towsley
Use Coupled LSTM Networks to Solve Constrained Optimization Problems. IEEE Trans. Cogn. Commun. Netw. 9 (2) (2023)
Shiqiang Wang, Jake B. Perazzone, Mingyue Ji, Kevin S. Chan
Federated Learning with Flexible Control. INFOCOM (2023)
Bing Luo, Yutong Feng, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas
Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation. CoRR (2023)
Yuang Jiang, Shiqiang Wang, Víctor Valls, Bong Jun Ko, Wei-Han Lee, Kin K. Leung, Leandros Tassiulas
Model Pruning Enables Efficient Federated Learning on Edge Devices. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Bing Luo, Wenli Xiao, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas
Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling. INFOCOM (2022)
Ahmed Imteaj, Urmish Thakker, Shiqiang Wang, Jian Li, M. Hadi Amini
A Survey on Federated Learning for Resource-Constrained IoT Devices. IEEE Internet Things J. 9 (1) (2022)
Jake Perazzone, Shiqiang Wang, Mingyue Ji, Kevin Chan
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization. CoRR (2022)
Jake B. Perazzone, Shiqiang Wang, Mingyue Ji, Kevin S. Chan
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization. INFOCOM (2022)
Shiqiang Wang, Mingyue Ji
A Unified Analysis of Federated Learning with Arbitrary Client Participation. NeurIPS (2022)
Chong Yu, Shuaiqi Shen, Shiqiang Wang, Kuan Zhang, Hai Zhao
Efficient Multi-Layer Stochastic Gradient Descent Algorithm for Federated Learning in E-health. ICC (2022)
Aosong Feng, Chenyu You, Shiqiang Wang, Leandros Tassiulas
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels. AAAI (2022)
Timothy J. Castiglia, Anirban Das, Shiqiang Wang, Stacy Patterson
Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data. ICML (2022)
Hanlin Lu, Changchang Liu, Shiqiang Wang, Ting He, Vijay Narayanan, Kevin S. Chan, Stephen Pasteris
Joint Coreset Construction and Quantization for Distributed Machine Learning. CoRR (2022)
Timothy Castiglia, Anirban Das, Shiqiang Wang, Stacy Patterson
Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data. CoRR (2022)
Georgios Kollias, Theodoros Salonidis, Shiqiang Wang
Sketch to Skip and Select: Communication Efficient Federated Learning Using Locality Sensitive Hashing. FL@IJCAI (2022)
Aosong Feng, Chenyu You, Shiqiang Wang, Leandros Tassiulas
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels. CoRR (2022)
Anirban Das, Timothy Castiglia, Shiqiang Wang, Stacy Patterson
Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and Horizontal Data Partitioning. ACM Trans. Intell. Syst. Technol. 13 (6) (2022)
Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
Communication-Efficient $k$k-Means for Edge-Based Machine Learning. IEEE Trans. Parallel Distributed Syst. 33 (10) (2022)
Timothy Castiglia, Shiqiang Wang, Stacy Patterson
Flexible Vertical Federated Learning with Heterogeneous Parties. CoRR (2022)
Yiwen Han, Shihao Shen, Xiaofei Wang, Shiqiang Wang, Victor C. M. Leung
Tailored Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud System. CoRR (2021)
Yiwen Han, Shihao Shen, Xiaofei Wang, Shiqiang Wang, Victor C. M. Leung
Tailored Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud System. INFOCOM (2021)
Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
Communication-efficient k-Means for Edge-based Machine Learning. CoRR (2021)
Vajiheh Farhadi, Fidan Mehmeti, Ting He, Thomas F. La Porta, Hana Khamfroush, Shiqiang Wang, Kevin S. Chan, Konstantinos Poularakis
Service Placement and Request Scheduling for Data-Intensive Applications in Edge Clouds. IEEE/ACM Trans. Netw. 29 (2) (2021)
Shiqiang Wang
Efficient deep learning. Nat. Comput. Sci. 1 (3) (2021)
Jun Huang, Jalel Ben-Othman, Shiqiang Wang, Ricky Yu-Kwong Kwok, Victor C. M. Leung, Wei Sun
Guest Editorial: AI-Empowered Mobile Edge Computing in the Internet of Vehicles. IEEE Netw. 35 (3) (2021)
Bing Luo, Xiang Li, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas
Cost-Effective Federated Learning in Mobile Edge Networks. CoRR (2021)
Bing Luo, Xiang Li, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas
Cost-Effective Federated Learning Design. INFOCOM (2021)
Bing Luo, Xiang Li, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas
Cost-Effective Federated Learning in Mobile Edge Networks. IEEE J. Sel. Areas Commun. 39 (12) (2021)
Zheyu Chen, Kin K. Leung, Shiqiang Wang, Leandros Tassiulas, Kevin Chan
Robust Solutions to Constrained Optimization Problems by LSTM Networks. MILCOM (2021)
Keyang Yu, Qi Li, Dong Chen, Mohammad Rahman, Shiqiang Wang
PrivacyGuard: Enhancing Smart Home User Privacy. IPSN (2021)
Anirban Das, Shiqiang Wang, Stacy Patterson
Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and Horizontal Data Partitioning. CoRR (2021)
Stephen Pasteris, Ting He, Fabio Vitale, Shiqiang Wang, Mark Herbster
Online Learning of Facility Locations. ALT (2021)
Bing Luo, Wenli Xiao, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas
Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling. CoRR (2021)
Angelo Feraudo, Poonam Yadav, Vadim Safronov, Diana Andreea Popescu, Richard Mortier, Shiqiang Wang, Paolo Bellavista, Jon Crowcroft
CoLearn: enabling federated learning in MUD-compliant IoT edge networks. EdgeSys@EuroSys (2020)
Pengchao Han, Shiqiang Wang, Kin K. Leung
Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach. ICDCS (2020)
Ahmed Imteaj, Urmish Thakker, Shiqiang Wang, Jian Li, M. Hadi Amini
Federated Learning for Resource-Constrained IoT Devices: Panoramas and State-of-the-art. CoRR (2020)
Pengchao Han, Shiqiang Wang, Kin K. Leung
Capacity Analysis of Distributed Computing Systems with Multiple Resource Types. WCNC (2020)
Tiffany Tuor, Shiqiang Wang, Bong Jun Ko, Changchang Liu, Kin K. Leung
Data Selection for Federated Learning with Relevant and Irrelevant Data at Clients. CoRR (2020)
Hanlin Lu, Changchang Liu, Ting He, Shiqiang Wang, Kevin S. Chan
Sharing Models or Coresets: A Study based on Membership Inference Attack. CoRR (2020)
Shufan Wang, Jian Li, Shiqiang Wang
Online Algorithms for Multi-shop Ski Rental with Machine Learned Predictions. CoRR (2020)
Tiffany Tuor, Shiqiang Wang, Bong Jun Ko, Changchang Liu, Kin K. Leung
Overcoming Noisy and Irrelevant Data in Federated Learning. ICPR (2020)
Hanlin Lu, Changchang Liu, Shiqiang Wang, Ting He, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
Joint Coreset Construction and Quantization for Distributed Machine Learning. Networking (2020)
Yilei Lin, Ting He, Shiqiang Wang, Kevin S. Chan
Waypoint-based Topology Inference. ICC (2020)
Bing Luo, Xiang Li, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas
Cost-Effective Federated Learning Design. CoRR (2020)
Hanlin Lu, Ming-Ju Li, Ting He, Shiqiang Wang, Vijaykrishnan Narayanan, Kevin S. Chan
Robust Coreset Construction for Distributed Machine Learning. IEEE J. Sel. Areas Commun. 38 (10) (2020)
Tadanobu Inoue, Phongtharin Vinayavekhin, Shu Morikuni, Shiqiang Wang, Tuan Hoang Trong, David Wood, Michiaki Tatsubori, Ryuki Tachibana
Detection of Anomalous Sounds for Machine Condition Monitoring using Classification Confidence. DCASE (2020)
Pengchao Han, Shiqiang Wang, Kin K. Leung
Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach. CoRR (2020)
Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
Communication-efficient k-Means for Edge-based Machine Learning. ICDCS (2020)
Stephen Pasteris, Ting He, Fabio Vitale, Shiqiang Wang, Mark Herbster
Online Learning of Facility Locations. CoRR (2020)
Yilei Lin, Ting He, Shiqiang Wang, Kevin Chan, Stephen Pasteris
Looking Glass of NFV: Inferring the Structure and State of NFV Network From External Observations. IEEE/ACM Trans. Netw. 28 (4) (2020)
Shufan Wang, Jian Li, Shiqiang Wang
Online Algorithms for Multi-shop Ski Rental with Machine Learned Advice. NeurIPS (2020)
Stephen Pasteris, Fabio Vitale, Kevin S. Chan, Shiqiang Wang, Mark Herbster
MaxHedge: Maximizing a Maximum Online. AISTATS (2019)
Tiffany Tuor, Shiqiang Wang, Kin K. Leung, Bong Jun Ko
Online Collection and Forecasting of Resource Utilization in Large-Scale Distributed Systems. ICDCS (2019)
Hanlin Lu, Ming-Ju Li, Ting He, Shiqiang Wang, Vijaykrishnan Narayanan, Kevin S. Chan
Robust Coreset Construction for Distributed Machine Learning. GLOBECOM (2019)
Bong Jun Ko, Shiqiang Wang, Ting He, Dave Conway-Jones
On Data Summarization for Machine Learning in Multi-organization Federations. SMARTCOMP (2019)
Tadanobu Inoue, Phongtharin Vinayavekhin, Shiqiang Wang, David Wood, Asim Munawar, Bong Jun Ko, Nancy Greco, Ryuki Tachibana
Shuffling and Mixing Data Augmentation for Environmental Sound Classification. DCASE (2019)
Shiqiang Wang, Tiffany Tuor, Theodoros Salonidis, Kin K. Leung, Christian Makaya, Ting He, Kevin Chan
Adaptive Federated Learning in Resource Constrained Edge Computing Systems. IEEE J. Sel. Areas Commun. 37 (6) (2019)
Stephen Pasteris, Shiqiang Wang, Mark Herbster, Ting He
Service Placement with Provable Guarantees in Heterogeneous Edge Computing Systems. CoRR (2019)
Hanlin Lu, Ming-Ju Li, Ting He, Shiqiang Wang, Vijay Narayanan, Kevin S. Chan
Robust Coreset Construction for Distributed Machine Learning. CoRR (2019)
Yuang Jiang, Shiqiang Wang, Bong Jun Ko, Wei-Han Lee, Leandros Tassiulas
Model Pruning Enables Efficient Federated Learning on Edge Devices. CoRR (2019)
Changchang Liu, Xi He, Thee Chanyaswad, Shiqiang Wang, Prateek Mittal
Investigating Statistical Privacy Frameworks from the Perspective of Hypothesis Testing. Proc. Priv. Enhancing Technol. 2019 (3) (2019)
Yilei Lin, Ting He, Shiqiang Wang, Kevin S. Chan, Stephen Pasteris
Multicast-Based Weight Inference in General Network Topologies. ICC (2019)
Yilei Lin, Ting He, Shiqiang Wang, Kevin S. Chan, Stephen Pasteris
Looking Glass of NFV: Inferring the Structure and State of NFV Network from External Observations. INFOCOM (2019)
Jae-wook Ahn, Keith Grueneberg, Bong Jun Ko, Wei-Han Lee, Eduardo Morales, Shiqiang Wang, Xiping Wang, David Wood
Acoustic anomaly detection system: demo abstract. SenSys (2019)
Vajiheh Farhadi, Fidan Mehmeti, Ting He, Tom La Porta, Hana Khamfroush, Shiqiang Wang, Kevin S. Chan
Service Placement and Request Scheduling for Data-intensive Applications in Edge Clouds. INFOCOM (2019)
Stephen Pasteris, Shiqiang Wang, Mark Herbster, Ting He
Service Placement with Provable Guarantees in Heterogeneous Edge Computing Systems. INFOCOM (2019)
Tiffany Tuor, Shiqiang Wang, Kin K. Leung, Bong Jun Ko
Online Collection and Forecasting of Resource Utilization in Large-Scale Distributed Systems. CoRR (2019)
Shiqiang Wang, Rahul Urgaonkar, Murtaza Zafer, Ting He, Kevin Chan, Kin K. Leung
Dynamic Service Migration in Mobile Edge Computing Based on Markov Decision Process. IEEE/ACM Trans. Netw. 27 (3) (2019)
Aaron K. Baughman, Eduardo Morales, Gary Reiss, Nancy Greco, Stephen Hammer, Shiqiang Wang
Detection of Tennis Events from Acoustic Data. MMSports@MM (2019)
Dave Conway-Jones, Tiffany Tuor, Shiqiang Wang, Kin K. Leung
Demonstration of Federated Learning in a Resource-Constrained Networked Environment. SMARTCOMP (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shiqiang Wang