Results 231 to 240 of about 96,144 (271)

A multi-modal data fusion and real-time monitoring on stroke risk prediction using federated learning. [PDF]

PLoS One
K RS, P MK.
europepmc   +1 more source

Splitting smarter: Differential privacy for secure healthcare federated learning. [PDF]

Sci Rep
Onireti MY, Shukla RM, Das T.
europepmc   +1 more source

IoT Authentication in Federated Learning: Methods, Challenges, and Future Directions. [PDF]

Sensors (Basel)
Badhib A, Alshehri S, Cherif A.
europepmc   +1 more source

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A survey on federated learning

Knowledge-Based Systems, 2021
Abstract Federated learning is a set-up in which multiple clients collaborate to solve machine learning problems, which is under the coordination of a central aggregator. This setting also allows the training data decentralized to ensure the data privacy of each device.
Chen Zhang, Yu Xie, Hang Bai
exaly   +2 more sources

Federated Learning

IEEE Consumer Electronics Magazine, 2021
Now we are in an era of technology transformation in our everyday life, where data play a key role in the decision making and bringing the action into reality. These data are collected from many distributed sources. Another important concept in this process is machine learning (ML) and data analytics.
Niranjan Kumar Ray 0001, Deepak Puthal, Dhruva Ghai   +2 more
openaire   +1 more source