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Google Vizier: A Service for Black-Box Optimization
Any sufficiently complex system acts as a black box when it becomes easier to experiment with than to understand.
Improving Query Efficiency of Black-box Adversarial Attack
Deep neural networks (DNNs) have demonstrated excellent performance on various tasks, however they are under the risk of adversarial examples that can be easily generated when the target model is accessible to an attacker (white-box setting).
FedLesScan: Mitigating Stragglers in Serverless Federated Learning
We implement our strategy by extending an open-source serverless FL system called FedLess.
Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum
We want to propose a new approach for it.
Distributed, Parallel, and Cluster Computing
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