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IEEE 3187-2024
IEEE Guide for Framework for Trustworthy Federated Machine Learning
NORMA vydaná dňa 19.12.2024
Informácie o norme:
Označenie normy: IEEE 3187-2024
Dátum vydania normy: 19.12.2024
Kód tovaru: NS-1209153
Počet strán: 50
Približná hmotnosť: 150 g (0.33 libier)
Krajina: Medzinárodná technická norma
Kategória: Technické normy IEEE
Anotácia textu normy IEEE 3187-2024 :
New IEEE Standard - Active.
The development and application of federated machine learning are facing the critical challenges of balancing the tradeoff among privacy, security, performance, and efficiency, how to realize supervision covering the whole life cycle, and how to get explainable results. Thus, trustworthy federated machine learning is proposed to solve the above problem. In this standard, a general view of 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. Also provided is guidance on how trustworthy federated machine learning is used in various scenarios.
ISBN: 979-8-8557-1471-5, 979-8-8557-1472-2
Number of Pages: 50
Product Code: STD27493, STDPD27493
Keywords: federated machine learning, framework, IEEE 3187™, machine learning, principle, trustworthy federated machine learning
Category: 309|312
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