Tag: federated 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 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 ...