BIOENGINEER

FedSPA Uses Shapley Values to Shield Federated Learning From Poisoning Attacks

FedSPA combines Shapley-value analysis and model parameter similarity to identify malicious clients in federated learning ...
The Conversation

Does ‘federated unlearning’ in AI improve data privacy, or create a new cybersecurity risk?

As the capacity of artificial intelligence (AI) increases at an exponential rate, so do concerns about the privacy of user data. Increasingly, organizations around the world are adopting something ...
BIOENGINEER

Federated framework detects email malware in benchmarks under non-IID data

A divergence-aware federated framework achieved 95.75% accuracy on non-IID email-malware benchmarks while generating visual ...
Forbes

Federated Data Governance: The Next Frontier In Anti-Money Laundering

Money laundering has become a cross-institutional problem, but anti-money laundering (AML) systems remain largely institution-bound. Criminal networks distribute transactions across multiple banks, ...