publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2025

  1. IEEE TNSE
    Federated hybrid training and self-adversarial distillation: Towards robust edge networks
    Yu Qiao, Apurba Adhikary, Kitae Kim, and 3 more authors
    IEEE Transactions on Network Science and Engineering, 2025
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  2. INFFUS
    Fedccl: Federated dual-clustered feature contrast under domain heterogeneity
    Yu Qiao, Huy Q Le, Mengchun Zhang, and 3 more authors
    Information Fusion, 2025
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  3. IEEE APNOMS
    Mitigating Label Skewness in Robust Federated Learning via Feature Synthesis
    Yu Qiao, Hyeonsu Kim, Yu Min Park, and 2 more authors
    In 2025 25th Asia-Pacific Network Operations and Management Symposium (APNOMS), 2025
  4. NEUNET
    Fedmekt: Distillation-based embedding knowledge transfer for multimodal federated learning
    Huy Q Le, Minh NH Nguyen, Chu Myaet Thwal, and 3 more authors
    Neural Networks, 2025
  5. INFFUS
    Cross-modal prototype based multimodal federated learning under severely missing modality
    Huy Q Le, Chu Myaet Thwal, Yu Qiao, and 4 more authors
    Information Fusion, 2025
  6. IEEE TNSE
    An Age of Service and Transformer-Driven Transfer Learning Framework for Holographic MIMO-Enabled 6G Networks
    Apurba Adhikary, Yu Qiao, Avi Deb Raha, and 4 more authors
    IEEE Transactions on Network Science and Engineering, 2025
  7. IEEE IoTJ
    Boosting federated domain generalization: Understanding the role of advanced pre-trained architectures
    Avi Deb Raha, Kitae Kim, Apurba Adhikary, and 4 more authors
    IEEE Internet of Things Journal, 2025

2024

  1. IEEE TNSE
    Logit calibration and feature contrast for robust federated learning on non-iid data
    Yu Qiao, Chaoning Zhang, Apurba Adhikary, and 1 more author
    IEEE Transactions on Network Science and Engineering, 2024
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  2. IEEE ICC
    Knowledge distillation assisted robust federated learning: Towards edge intelligence
    Yu Qiao, Apurba Adhikary, Ki Tae Kim, and 2 more authors
    In ICC 2024-IEEE International Conference on Communications, 2024
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  3. IEEE NOMS
    Towards robust federated learning via logits calibration on non-iid data
    Yu Qiao, Apurba Adhikary, Chaoning Zhang, and 1 more author
    In NOMS 2024-2024 IEEE Network Operations and Management Symposium, 2024
  4. IEEE IoTJ
    Holographic MIMO with integrated sensing and communication for energy-efficient cell-free 6G networks
    Apurba Adhikary, Avi Deb Raha, Yu Qiao, and 3 more authors
    IEEE Internet of Things Journal, 2024
  5. IEEE ICC
    A power allocation framework for holographic mimo-aided energy-efficient cell-free networks
    Apurba Adhikary, Avi Deb Raha, Yu Qiao, and 3 more authors
    In ICC 2024-IEEE International Conference on Communications, 2024

2023

  1. IEEE IoTJ
    Mp-fedcl: Multiprototype federated contrastive learning for edge intelligence
    Yu Qiao, Md Shirajum Munir, Apurba Adhikary, and 4 more authors
    IEEE Internet of Things journal, 2023
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  2. IEEE ICOIN
    A framework for multi-prototype based federated learning: Towards the edge intelligence
    Yu Qiao, Md Shirajum Munir, Apurba Adhikary, and 3 more authors
    In 2023 International Conference on Information Networking (ICOIN), 2023
  3. IEEE NOMS
    Cdfed: Contribution-based dynamic federated learning for managing system and statistical heterogeneity
    Yu Qiao, Md Shirajum Munir, Apurba Adhikary, and 2 more authors
    In NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium, 2023
  4. IEEE APNOMS
    Knowledge distillation in federated learning: Where and how to distill?
    Yu Qiao, Chaoning Zhang, Huy Q Le, and 3 more authors
    In 2023 24st Asia-Pacific Network Operations and Management Symposium (APNOMS), 2023
  5. IEEE TNSM
    Integrated sensing, localization, and communication in holographic MIMO-enabled wireless network: A deep learning approach
    Apurba Adhikary, Md Shirajum Munir, Avi Deb Raha, and 3 more authors
    IEEE Transactions on Network and Service Management, 2023