Auditable certificates measure client update value in personalized federated learning
A new study introduces auditable update-utility certificates that verifiably measure the value of each client's contribution in personalized federated learning ...
A new study introduces auditable update-utility certificates that verifiably measure the value of each client's contribution in personalized federated learning ...
Researchers have unveiled a framework that trains personalized quantum classifiers across many users while each label is privatized locally, guaranteeing ...
A new systematic survey maps the full landscape of privacy attacks on deep learning and finds that while differential privacy ...
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 ...
A new systematic review of over 160 studies finds that reinforcement learning can make smart microgrids genuinely adaptive, but communication-aware ...
A comprehensive new review shows how machine learning and deep learning are transforming marine biodiversity monitoring, fisheries management, pollution detection ...
Researchers have developed SWIFT-KD, a federated learning framework combining hierarchical sliding-window transformers with knowledge distillation that predicts building energy consumption ...
Artificial intelligence systems are increasingly trained on data that never leaves the devices where it is created—hospital servers holding sensitive ...
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
© 2025 Scienmag - Science Magazine