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Wang, Shiqiang

  1. Adaptive Federated Learning in Resource Constrained Edge Computing Systems
    2018/04/14 by Shiqiang Wang, Wang, Shiqiang, Tiffany Tuor +11 · 33 citations
    Computer Science · #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #Machine Learning and ELM
  2. Model Pruning Enables Efficient Federated Learning on Edge Devices
    2019/09/26 by Yuang Jiang, Jiang, Yuang, Shiqiang Wang +11 · 22 citations
    Computer Science · Social Sciences · #Distributed #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Internet Traffic Analysis and Secure E-voting #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
  3. Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach
    2020/01/14 by Pengchao Han, Han, Pengchao, Shiqiang Wang +3 · 11 citations
    Computer Science · #Distributed #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
  4. FedExP: Speeding Up Federated Averaging via Extrapolation
    2023/01/23 by Divyansh Jhunjhunwala, Jhunjhunwala, Divyansh, Shiqiang Wang +3 · 12 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  5. Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling
    2021/12/21 by Bing Luo, Wenli Xiao, Luo, Bing +7 · 6 citations
    Computer Science · #Privacy-Preserving Technologies in Data #Wireless Networks and Protocols #Cooperative Communication and Network Coding
  6. Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data
    2022/06/16 by Timothy Castiglia, Anirban Das, Castiglia, Timothy +5 · 6 citations
    Computer Science · #Cooperative Communication and Network Coding #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  7. KerGNNs: Interpretable Graph Neural Networks with Graph Kernels
    2022/01/03 by Aosong Feng, Feng, Aosong, Chenyu You +5 · 5 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  8. A Unified Analysis of Federated Learning with Arbitrary Client Participation
    2022/05/26 by Wang, Shiqiang, Ji, Mingyue · 5 citations
    #Distributed #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Parallel #and Cluster Computing (cs.DC)
  9. Cost-Effective Federated Learning Design
    2020/12/15 by Bing Luo, Luo, Bing, Xiang Li +7 · 3 citations
    Computer Science · #Distributed #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Networking and Internet Architecture (cs.NI) #Optimization and Control (math.OC) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
  10. Flexible Vertical Federated Learning with Heterogeneous Parties
    2022/08/26 by Castiglia, Timothy, Wang, Shiqiang, Patterson, Stacy · 3 citations
    #Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC)
  11. Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization
    2023/12/20 by Pengchao Han, Han, Pengchao, Shiqiang Wang +4 · 4 citations
    Computer Science · Social Sciences · #Age of Information Optimization #Distributed #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
  12. Federated Learning for Resource-Constrained IoT Devices: Panoramas and State-of-the-art
    2020/02/25 by Ahmed Imteaj, Urmish Thakker, Imteaj, Ahmed +7 · 2 citations
    Computer Science · #Age of Information Optimization #Cooperative Communication and Network Coding #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
  13. Tailored Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud System
    2021/01/17 by Han, Yiwen, Shen, Shihao, Wang, Xiaofei +2 · 2 citations
    #Artificial Intelligence (cs.AI) #Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC)
  14. Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining
    2025/02/10 by Daouda Sow, Herbert Woisetschläger, Sow, Daouda +9 · 7 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech Recognition and Synthesis #Text and Document Classification Technologies
  15. Cost-Effective Federated Learning in Mobile Edge Networks
    2021/09/12 by Bing Luo, Xiang Li, Luo, Bing +7 · 2 citations
    Computer Science · Engineering · #Privacy-Preserving Technologies in Data #Advanced MIMO Systems Optimization #Stochastic Gradient Optimization Techniques
  16. Federated Learning Priorities Under the European Union Artificial Intelligence Act
    2024/02/05 by Herbert Woisetschläger, Woisetschläger, Herbert, Alexander Erben +11 · 3 citations
    Economics, Econometrics and Finance · Social Sciences · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Digital Transformation in Law #Distributed #European Criminal Justice and Data Protection #FOS: Computer and information sciences #I.2 #I.2.11 #K.5 #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
  17. Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning
    2023/04/10 by Hanjing Wang, Dhiraj Joshi, Wang, Hanjing +5 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #Anomaly Detection Techniques and Applications
  18. Distilling On-Device Intelligence at the Network Edge
    2019/08/16 by Jihong Park, Park, Jihong, Shiqiang Wang +15 · 2 citations
    Computer Science · #FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #IoT and Edge/Fog Computing #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Networking and Internet Architecture (cs.NI) #Privacy-Preserving Technologies in Data #Signal Processing (eess.SP) #electronic engineering #information engineering
  19. A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging
    2023/06/06 by Wang, Shiqiang, Ji, Mingyue · 2 citations
    #Distributed #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Parallel #and Cluster Computing (cs.DC)
  20. Hierarchical Federated Learning with Multi-Timescale Gradient Correction
    2024/09/27 by Wenzhi Fang, Dong-Jun Han, Fang, Wenzhi +7 · 3 citations
    Computer Science · Neuroscience · #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #Brain Tumor Detection and Classification
  21. Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation
    2023/04/17 by Luo, Bing, Feng, Yutong, Wang, Shiqiang +2 · 2 citations
    #Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  22. Dynamic Service Migration in Mobile Edge Computing Based on Markov Decision Process
    2015/06/17 by Wang, Shiqiang, Urgaonkar, Rahul, Zafer, Murtaza +3 · 1 citation
    #Distributed #FOS: Computer and information sciences #FOS: Mathematics #Networking and Internet Architecture (cs.NI) #Optimization and Control (math.OC) #Parallel #and Cluster Computing (cs.DC)
  23. Device-Cloud Collaborative LLM Inference with Multi-Modal, Multi-Task, Multi-Turn Conversations
    2025/02/16 by Liangqi Yuan, Yuan, Liangqi, Dong-Jun Han +5 · 6 citations
    Computer Science · Engineering · #Distributed #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Machine Learning (cs.LG) #Parallel #Robotics and Automated Systems #Service-Oriented Architecture and Web Services #and Cluster Computing (cs.DC)
  24. StableFDG: Style and Attention Based Learning for Federated Domain Generalization
    2023/11/01 by Jungwuk Park, Park, Jungwuk, Dong-Jun Han +9 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  25. Optimal Communication and Key Rate Region for Hierarchical Secure Aggregation with User Collusion
    2024/10/17 by Xiang Zhang, Kai Wan, Zhang, Xiang +9 · 5 citations
    Computer Science · Engineering · #Cooperative Communication and Network Coding #FOS: Computer and information sciences #Information Theory (cs.IT) #Security in Wireless Sensor Networks #Wireless Communication Security Techniques
  26. Overcoming Noisy and Irrelevant Data in Federated Learning
    2020/01/22 by Tuor, Tiffany, Wang, Shiqiang, Ko, Bong Jun +2 · 1 citation
    #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #and Cluster Computing (cs.DC)
  27. Vertical Federated Learning with Missing Features During Training and Inference
    2024/10/29 by Pedro Valdeira, Valdeira, Pedro, Shiqiang Wang +3 · 3 citations
    Computer Science · #Data Structures and Algorithms (cs.DS) #Distributed #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
  28. Sharing Models or Coresets: A Study based on Membership Inference Attack
    2020/07/06 by Hanlin Lu, Lu, Hanlin, Changchang Liu +7 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mobile Crowdsensing and Crowdsourcing #Privacy-Preserving Technologies in Data
  29. Robustness and Diversity Seeking Data-Free Knowledge Distillation
    2020/11/07 by Han, Pengchao, Park, Jihong, Wang, Shiqiang +1 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Systems and Control (eess.SY) #electronic engineering #information engineering
  30. A New Theoretical Perspective on Data Heterogeneity in Federated Optimization
    2024/07/22 by Wang, Jiayi, Wang, Shiqiang, Chen, Rong-Rong +1 · 2 citations
    #Distributed #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Parallel #and Cluster Computing (cs.DC)
  31. FADAS: Towards Federated Adaptive Asynchronous Optimization
    2024/07/25 by Wang, Yujia, Wang, Shiqiang, Lu, Songtao +1 · 3 citations
    #Artificial Intelligence (cs.AI) #Distributed #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Parallel #and Cluster Computing (cs.DC)
  32. Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks
    2024/04/22 by Luo, Bing, Xiao, Wenli, Wang, Shiqiang +2 · 2 citations
    #Distributed #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Networking and Internet Architecture (cs.NI) #Parallel #Systems and Control (eess.SY) #and Cluster Computing (cs.DC) #electronic engineering #information engineering
  33. Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization
    2022/01/19 by Jake Perazzone, Perazzone, Jake, Shiqiang Wang +5 · 1 citation
    Computer Science · #Age of Information Optimization #Distributed #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
  34. FedFisher: Leveraging Fisher Information for One-Shot Federated Learning
    2024/03/19 by Divyansh Jhunjhunwala, Shiqiang Wang, Jhunjhunwala, Divyansh +3 · 2 citations
    Computer Science · #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
  35. Taming Subnet-Drift in D2D-Enabled Fog Learning: A Hierarchical Gradient Tracking Approach
    2023/12/07 by Chen, Evan, Wang, Shiqiang, Brinton, Christopher G. · 2 citations
    #FOS: Computer and information sciences #Networking and Internet Architecture (cs.NI)
  36. Federated Learning with Flexible Control
    2022/12/16 by Wang, Shiqiang, Perazzone, Jake, Ji, Mingyue +1 · 1 citation
    #Distributed #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Parallel #and Cluster Computing (cs.DC)
  37. LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning
    2023/05/03 by Castiglia, Timothy, Zhou, Yi, Wang, Shiqiang +3 · 1 citation
    #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
  38. DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations
    2023/12/17 by Xiong, Guojun, Yan, Gang, Wang, Shiqiang +1 · 1 citation
    #Distributed #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Parallel #and Cluster Computing (cs.DC)
  39. Adaptive Federated Pruning in Hierarchical Wireless Networks
    2023/05/15 by Xiaonan Liu, Liu, Xiaonan, Shiqiang Wang +5 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  40. Erasure Coded Neural Network Inference via Fisher Averaging
    2024/09/02 by Jhunjhunwala, Divyansh, Jali, Neharika, Joshi, Gauri +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  41. Active Learning for WBAN-based Health Monitoring
    2024/08/05 by Chiu, Cho-Chun, Nguyen, Tuan, He, Ting +3 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Networking and Internet Architecture (cs.NI)
  42. Adaptive Rank Allocation for Federated Parameter-Efficient Fine-Tuning of Language Models
    2025/01/24 by Wu, Fei, Hu, Jia, Min, Geyong +1 · 1 citation
    #Artificial Intelligence (cs.AI) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Networking and Internet Architecture (cs.NI) #Parallel #and Cluster Computing (cs.DC)