Tag: non-IID data

A new phased client selection method for federated learning improves accuracy, cuts training time and communication costs, and strengthens defenses ...

A new federated learning framework lets hospitals train chest X-ray diagnostic AI collaboratively without sharing patient data, and it outperforms ...

Researchers have built a federated hybrid quantum-classical neural network that classifies Alzheimer's disease from MRI scans with benchmark accuracies above ...

Researchers at Vanderbilt University have developed a resilient adaptive aggregation method that enables peer-to-peer machine learning networks to reach consensus ...

A new federated learning framework called FedEntGate uses entropy-aware dynamic gating and adaptive differential privacy to cut communication overhead by ...

A systematic review of 41 studies reveals that distributed machine learning, led by federated learning, is rapidly reshaping precision agriculture ...