Federated Learning Implementation

Cloud-Based Federated Learning Implementation Across Medical Centers

Building External Control Arms From Patient-Level Electronic Health Record Data to Replicate the Randomized IMblaze370 Control Arm in Metastatic Colorectal Cancer Building well-performing machine ...

Nature

Splitting smarter: Differential privacy for secure healthcare federated learning

Split Federated Learning (SplitFed) has emerged as a decentralized method of training ML models that enables multiple healthcare parties to collaboratively share models without sharing their raw data.

Nature

Federated learning-based trust and energy-aware routing in Fog–Cloud computing environments for the Internet of Things

The rapid convergence of Fog, Cloud, and Internet of Things (IoT) technologies has introduced a new era of distributed intelligence and real-time data processing. However, ensuring secure, reliable, ...

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Cloud-Based Federated Learning Implementation Across Medical Centers

Splitting smarter: Differential privacy for secure healthcare federated learning

Federated learning-based trust and energy-aware routing in Fog–Cloud computing environments for the Internet of Things

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