Tag: federated learning

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

Researchers have developed an autonomous blockchain-based system that improves intrusion detection accuracy while cutting latency and energy consumption in fog ...

Researchers have developed GRAB-FL, a graph-aware federated learning framework that uses graph neural networks to assign trust scores to client ...

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 ...