Unite.AI

KELA’s 2026 Mid-Year AI Threat Landscape Report: AI Is Becoming Both the Weapon and the Target

Artificial intelligence is no longer simply helping cybercriminals work faster—it is increasingly becoming an active ...
IEEE

Robust Adversarial Defenses in Federated Learning: Exploring the Impact of Data Heterogeneity

Abstract: Federated Learning (FL) enables geographically distributed clients to collaboratively train machine learning models by exchanging local model parameters while preserving data privacy. In ...
IEEE

Heterogeneous Adversarial Federated Learning

Abstract: Federated Learning (FL), a distributed machine learning paradigm, enables collaborative learning across clients organized by a server while protecting data privacy. Traditional FL assumes ...