Banks Team Up to Catch Fraud Without Sharing Your Data
Researchers have developed a federated deep learning framework that detects financial fraud across banks with high accuracy while keeping all ...
Researchers have developed a federated deep learning framework that detects financial fraud across banks with high accuracy while keeping all ...
Researchers in Morocco have integrated federated learning with the OneM2M IoT service layer, showing faster, privacy-preserving machine learning at the ...
Researchers have developed FedML-DKD, a federated learning framework that uses Earth Mover's Distance to adaptively balance knowledge distillation and meta-learning, ...
Researchers in India have developed ASHA, a federated learning algorithm that weights each client's updates by a dynamic contribution score, ...
A new open-source simulator called FLInterrupt makes sudden client dropouts a controllable experimental variable in federated learning research, revealing how ...
A new study compares federated averaging, decentralized gossip learning, and a hybrid of the two for classifying invasive ductal carcinoma ...
A new reinforcement learning framework called FLASH-DRM selects the most valuable devices for each federated learning round, improving accuracy, latency ...
Researchers at Vanderbilt University have developed a resilient adaptive aggregation method that enables peer-to-peer machine learning networks to reach consensus ...
A systematic review of 41 studies reveals that distributed machine learning, led by federated learning, is rapidly reshaping precision agriculture ...
Artificial intelligence is increasingly trained on data that nobody is allowed to see. Millions of smartphones hold keystroke patterns, hospitals ...
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© 2025 Scienmag - Science Magazine