Benchmark for Personalized Federated Learning
Federated learning is a distributed machine learning approach that allows a single server to collaboratively build machine learning models with multiple clients without sharing datasets. Since data distributions may differ across clients, data heterogeneity is a challenging issue in federated learni...
| Published in: | IEEE Open Journal of the Computer Society |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10316561/ |