The introduction of BadUnlearn highlights a previously unaddressed security risk, demonstrating that FU alone is not a ...

Abstract: Federated learning (FL) has emerged as a popular distributed machine-learning paradigm. It involves many rounds of iterative communication between nodes to exchange model parameters. With ...

That all changed when they adopted federated learning. Federated learning is emerging as a game-changing approach for enterprises looking to leverage the power of LLMs while maintaining data ...

APPFL, Advanced Privacy-Preserving Federated Learning, is an open-source and highly extensible software framework that allows research communities to implement, test ...

In his book The Mathematical Universe, mathematician William Dunham wrote of John Venn’s namesake legacy, the Venn diagram, “No one in the long history of mathematics ever became better known ...

Nowadays, distributed machine learning methods, such as federated learning (FL), split learning (SL), and split federated learning (SFL), are widely applied in vehicular networks to support VEI.

These days businesses are facing more change than ever. And the strongest predictor of whether a company can transform in the face of change is its ability to hire, develop, and retain the ...