We then highlight the need for split federated learning towards the upcoming 6G networks in every aspect, including 6G technologies (e.g., intelligent physical layer, intelligent edge computing, ...

In recent years, split learning (SL) has emerged as a promising distributed learning framework that can utilize Big Data in parallel without privacy leakage while reducing client-side computing ...

In recent decades, computer scientists have been developing increasingly advanced machine learning techniques that can learn ...

The new federated AI blueprint from T-RIZE and Flower enhances data privacy, compliance, and auditability for enterprise ...

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