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Multi-party federated learning
| AI Glossary |
An ml setting where many clients (e.g., mobile devices or whole organizations) collaboratively train a model under the orchestration of a central server (e.g., service provider) while keeping the training data decentralized. it can mitigate many of the systemic privacy risks and costs resulting from traditional, centralized ml and data science approaches.50 however, it does introduce new attack vectors that must be addressed.51
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Orchestration, английский
An executable business process.
Decentralized, английский
Децентрализованный
Traditional, английский
A традиционный grammar
Centralized, английский
- Hvac system a heating, ventilating, and air-conditioning system having a single heating and/or cooling source for air distribution.
- Централизованный
Approaches, английский
The trenches, zig-zags, saps, and other works, by which a besieger makes good his way up to a fortified place. (see trenches.)
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Multi-source data, английский
Data obtained and aggregated from different origins.
Multimodal data, английский
Data comprising several signal or communication types, such as speech and body gestures during human-to-human communication.
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