Tag: federated learning

A new federated learning framework called FedCAMP-IDS detects known and zero-day cyberattacks across heterogeneous IoT networks with up to 99.16 ...

A new study compares federated averaging, decentralized gossip learning, and a hybrid of the two for classifying invasive ductal carcinoma ...

A new blockchain-enabled federated learning framework called IoV BCFL+ detects intrusions across connected vehicle networks with over 96 percent accuracy ...

Researchers have developed FedDeepRiskNet++, a federated learning framework that combines differential privacy, homomorphic encryption and adaptive scheduling to let hospitals ...

Researchers have developed Fed-A²LoRA, a federated fine-tuning method that halves trainable adapter parameters and cuts communication costs by up to ...

A new study derives an exact summary-statistics-only transformation that converts with-intercept regression fits into no-intercept fits, cutting federated learning costs, ...

A new survey argues that in 6G networks, machine learning must contend with its own feedback loops, non-stationary data, and ...

Researchers have developed a vertical federated deep learning framework using a binary manta ray optimization algorithm that selects cancer-related genes ...

Researchers in Shanghai have built a privacy-preserving federated AI system that fuses bedside ventilator, ultrasound, and blood gas data with ...

Japanese researchers show that federated learning networks can progressively improve brain lesion detection software as hospitals join one at a ...