2 papers
eess.IV2026
Probabilistic Feature Imputation and Uncertainty-Aware Multimodal Federated Aggregation
Nafis Fuad Shahid, Maroof Ahmed, Md Akib Haider +3
Multimodal federated learning enables privacy-preserving collaborative model training across healthcare institutions. However, a fundamental challenge arises from modality heteroge…
cs.CR2025
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…