Results 221 to 230 of about 392,453 (267)

Federated learning's uncomfortable truth: why human networks matter more than neural networks. [PDF]

J Am Med Inform Assoc
Peltonen LM, Chomutare T.
europepmc   +1 more source

Data on student perceptions of blended learning, engagement, and academic achievement in engineering-related universities in Vietnam. [PDF]

Data Brief
Le HT, Le HH, Pham THT.
europepmc   +1 more source

A Privacy-Preserving Artificial Intelligence-Driven Sensing System for Distributed Multimodal Risk Detection. [PDF]

Sensors (Basel)
Zhu Y, Song Y, Xuan Y, Song Y, Pu J, Li J, Li M.   +6 more
europepmc   +1 more source

Secure healthcare data management using federated learning, blockchain, and explainable artificial intelligence: a systematic review. [PDF]

Front Digit Health
Bhardwaj T, Sumangali K.
europepmc   +1 more source

Privacy-preserving multimodal federated learning pipeline for cyber-resilient healthcare systems. [PDF]

PLoS One
Tanvir MIM, Rabby HR, Arif MH, Nadia NY, Nur K.   +4 more
europepmc   +1 more source

The Development of Selective Attention in Children's Emotion Reasoning. [PDF]

Dev Sci
Stein AG, Pollak SD.
europepmc   +1 more source

Learning on Distributions

, 2014
Szabo, Z, Gretton, A, Póczos, B, Sriperumbudur, B   +3 more
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Learning a population distribution [PDF]

Journal of Economic Dynamics and Control, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Distributed Reinforcement Learning

Robotics and Autonomous Systems, 1995
In multi-agent systems two forms of learning can be distinguished: centralized learning, that is, learning done by a single agent independent of the other agents; and distributed learning, that is, learning that becomes possible only because several agents are present. Whereas centralized learning has been intensively studied in the field of artificial
openaire   +1 more source

Differentially Private Distributed Learning

INFORMS Journal on Computing, 2020
The rich data used to train learning models increasingly tend to be distributed and private. It is important to efficiently perform learning tasks without compromising individual users’ privacy even considering untrusted learning applications and, furthermore, understand how privacy-preservation mechanisms impact the learning process.
Yaqin Zhou, Shaojie Tang 0001
openaire   +2 more sources