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Found 2 papers, 1 papers with code
Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization
Therefore, to scale computation and data, these models are inevitably trained in a distributed manner in clusters of nodes, and their updates are aggregated before being applied to the model.
Modeling Performance and Energy trade-offs in Online Data-Intensive Applications
The performance metrics under consideration are the mean number of applications in the system and the average energy expenditure.
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