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Normas IEEE americanas electrotécnicas - AENOR
IEEE P3187

IEEE P3187

Fecha:
2024-12-25 /Active
Idiomas Disponibles:
Inglés
Título:
IEEE Approved Draft Guide for Framework for Trustworthy Federated Machine Learning
Scope:

New IEEE Standard - Active - Draft. The development and application of federated machine learning are facing the critical challenges about how to balance the tradeoff among privacy, security, performance, and efficiency, how to realize supervision covering the whole life cycle and how to get the explainable results. Then trustworthy federated machine learning is proposed to solve the above problem. In this standard, a general view on framework for trustworthy federated machine learning is provided in four parts: a principle in trustworthy federated machine learning, requirements from the perspective of different principles and different federated machine learning participants, and methods to realize trustworthy federated machine learning. It also provides some guidance on how trustworthy federated machine learning is used in various scenarios.

Keywords:

federated machine learning, framework, IEEE 3187™, machine learning, principle, trustworthy federated machine learning

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