Towards personalized federated learning

Towards personalized federated learning

In parallel with the rapid adoption of artificial intelligence (AI) empowered by advances in AI research, there has been growing awareness and concerns of data privacy. Recent significant developments in the data regulation landscape have prompted a seismic shift in interest toward privacy-preservin...

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Bibliographic Details
Main Authors: Tan, Alysa Ziying, Yu, Han, Cui, Lizhen, Yang, Qiang
Other Authors: College of Computing and Data Science
Format: Journal Article
Language:English
Published: 2024
Subjects:
Computer and Information Science
Edge computing
Federated learning
Non-IID data
Personalized federated learning
Pprivacy preservation
Statistical heterogeneity
Online Access:https://hdl.handle.net/10356/179047
http://arxiv.org/abs/2103.00710v3

Internet

https://hdl.handle.net/10356/179047
http://arxiv.org/abs/2103.00710v3

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