Towards Mobile Federated Learning with Unreliable Participants and Selective Aggregation

Towards Mobile Federated Learning with Unreliable Participants and Selective Aggregation

Recent advances in artificial intelligence algorithms are leveraging massive amounts of data to optimize, refine, and improve existing solutions in critical areas such as healthcare, autonomous vehicles, robotics, social media, or human resources. The significant increase in the quantity of data gen...

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Bibliographic Details
Main Authors: Leonardo Esteves, David Portugal, Paulo Peixoto, Gabriel Falcao
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Applied Sciences
Subjects:
federated learning (FL)
federated averaging (FedAvg)
federated SGD (FedSGD)
unreliable participants
selective aggregation
Online Access:https://www.mdpi.com/2076-3417/13/5/3135

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