5 citations · 5 across the 9 of their papers we have counts for
4 papers · 1 filter
Progressive Code Integration for Abstractive Bug Report Summarization
Shaira Sadia Karim, Abrar Mahmud Rahim, Lamia Alam +4
Bug reports are often unstructured and verbose, making it challenging for developers to efficiently comprehend software issues. Existing summarization approaches typically rely on…
Personalized Federated Segmentation with Shared Feature Aggregation and Boundary-Focused Calibration
Ishmam Tashdeed, Md. Atiqur Rahman, Sabrina Islam +1
Personalized federated learning (PFL) possesses the unique capability of preserving data confidentiality among clients while tackling the data heterogeneity problem of non-independ…
AntiFLipper: A Secure and Efficient Defense Against Label-Flipping Attacks in Federated Learning
Aashnan Rahman, Abid Hasan, Sherajul Arifin +5
Federated learning (FL) enables privacy-preserving model training by keeping data decentralized. However, it remains vulnerable to label-flipping attacks, where malicious clients m…
FedStrategist: A Meta-Learning Framework for Adaptive and Robust Aggregation in Federated Learning
Md Rafid Haque, Abu Raihan Mostofa Kamal, Md. Azam Hossain
Federated Learning (FL) offers a paradigm for privacy-preserving collaborative AI, but its decentralized nature creates significant vulnerabilities to model poisoning attacks. Whil…