Abstract: The performance of big data workflows depends on both the workflow mapping scheme, which determines task assignment and container allocation in Hadoop, and the on-node scheduling policy, ...
Abstract: Federated Learning (FL) has emerged as a crucial paradigm for training machine learning models across distributed devices while preserving data privacy. However, the resource constraints of ...
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