Decentralized machine learning training: a survey on synchronization, consolidation, and topologies

Federated Learning (FL) has emerged as a promising methodology for collaboratively training machine learning models on decentralized devices. Notwithstanding, the effective synchronization and consolidation of model updates originating from diverse devices, in conjunction with the appropriate config...

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