Experimental analysis of performance trade-offs across CFL, DFL, and SDFL using Fedstellar simulator, MNIST, and MLP.
”Advances and open problems in federated learn- ing.” Foundations and trends® in machine learning 14.1–2 (2021): 1- 210
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Centralized vs Decentralized Federated Learning: A trade-off performance analysis
Experimental analysis of performance trade-offs across CFL, DFL, and SDFL using Fedstellar simulator, MNIST, and MLP.