65 citations · 111 across the 15 of their papers we have counts for
3 papers · 1 filter
DPD-InfoGAN: Differentially Private Distributed InfoGAN
Vaikkunth Mugunthan, Vignesh Gokul, Lalana Kagal +1
Generative Adversarial Networks (GANs) are deep learning architectures capable of generating synthetic datasets. Despite producing high-quality synthetic images, the default GAN ha…
BlockFLow: An Accountable and Privacy-Preserving Solution for Federated Learning
Vaikkunth Mugunthan, Ravi Rahman, Lalana Kagal
Federated learning enables the development of a machine learning model among collaborating agents without requiring them to share their underlying data. However, malicious agents w…
PrivacyFL: A simulator for privacy-preserving and secure federated learning
Vaikkunth Mugunthan, Anton Peraire-Bueno, Lalana Kagal
Federated learning is a technique that enables distributed clients to collaboratively learn a shared machine learning model while keeping their training data localized. This reduce…