Transparency and privacy: the role of explainable ai and federated learning in financial fraud detection
T Awosika, RM Shukla, B Pranggono - IEEE Access, 2024 - ieeexplore.ieee.org
Fraudulent transactions and how to detect them remain a significant problem for financial
institutions around the world. The need for advanced fraud detection systems to safeguard …
institutions around the world. The need for advanced fraud detection systems to safeguard …
Fortifying SplitFed Learning: Strengthening Resilience Against Malicious Clients
This article focuses on analyzing SplitFed Learning against model poisoning vulnerability
and developing methods to protect such a system against these attacks. SplitFed learning is …
and developing methods to protect such a system against these attacks. SplitFed learning is …
ResInvolution: an involution-ResNet fused global spatial relation leveraging model for histopathological image analysis under federated learning environment
SM Dipto - 2024 - dspace.bracu.ac.bd
Accessing image data in the domain of medical image analysis is challenging owing to
concerns regarding privacy. Federated Learning is the approach used to get rid of this …
concerns regarding privacy. Federated Learning is the approach used to get rid of this …