Tag: federated learning

Researchers have built a federated learning system that combines CKKS homomorphic encryption with blockchain storage, cutting adversarial attack success from ...

A sweeping new survey of 57 studies finds that machine learning and deep learning models report accuracy as high as ...

Researchers have developed a federated, lightweight deep learning system that detects attacks on car CAN bus networks with high accuracy ...

Researchers have developed a federated learning-based caching scheme that predicts socially popular content and pre-positions it at the network edge ...

A new framework combining adaptive fuzzy logic and federated deep reinforcement learning cuts energy consumption in vehicular edge computing by ...

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 ...