publications

Research publications and preprints.

  1. FedVision-CVPR
    FedSIR: Spectral Client Identification and Relabeling for Federated Learning with Noisy Labels
    Abdulmoneam Ali, Sina Gholami, Tania Haghighi, and 2 more authors
    In the IEEE/CVF CVPR Workshops, Jun 2026
    Nominated for best paper, oral presentation. Equal contribution by Abdulmoneam Ali and Sina Gholami.
    arXiv
  2. Allerton
    Eigenspace-Based Clustering for Personalized System Identification
    Abdulmoneam Ali, Dipankar Maity, and Ahmed Arafa
    arXiv preprint arXiv:2606.20811, 2026
    Accepted to Allerton 2026.
    arXiv
  3. arXiv
    FB-NLL: A Feature-Based Approach to Tackle Noisy Labels in Personalized Federated Learning
    Abdulmoneam Ali and Ahmed Arafa
    arXiv preprint arXiv:2604.19729, 2026
    Submitted for journal publication.
    arXiv
  4. IEEE TCCN
    Delay Sensitive Hierarchical Federated Learning With Stochastic Local Updates
    Abdulmoneam Ali and Ahmed Arafa
    IEEE Transactions on Cognitive Communications and Networking, 2025
    DOI
  5. IEEE ICC
    RCC-PFL: Robust Client Clustering Under Noisy Labels in Personalized Federated Learning
    Abdulmoneam Ali and Ahmed Arafa
    In ICC 2025 - IEEE International Conference on Communications, 2025
    DOI
  6. Asilomar
    Data Similarity-Based One-Shot Clustering for Multi-Task Hierarchical Federated Learning
    Abdulmoneam Ali and Ahmed Arafa
    In 2024 58th Asilomar Conference on Signals, Systems, and Computers, 2024
    DOI
  7. IEEE WCNC
    Impact of Temporally Correlated Nakagami-m Interferers in D2D Cache-Aided Networks
    Abdulmoneam A. Hassan, Laila H. Afify, Amr A. El-Sherif, and 1 more author
    In 2019 IEEE Wireless Communications and Networking Conference (WCNC), 2019
    DOI
  8. NILES
    Stochastic Modeling of Content-Dependent Scheduling in D2D Cache-Enabled Networks
    Abdulmoneam A. Hassan, Laila H. Afify, Amr A. El-Sherif, and 1 more author
    In 2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES), 2020
    DOI