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Benchmarking Q-learning methods for intelligent network orchestration in the edge
(IEEE, 2020-05-13)
- conferenceObject
We benchmark Q-learning methods, with various action selection strategies, in intelligent orchestration of the network edge. Q-learning is a reinforcement learning technique that aims to find optimal action policies by ...
Regression Training using Model Parallelism in a Distributed Cloud
(IEEE, 2019-11-04)
- article
Machine learning requires a relevant amount of computational resources and it is usually executed in high-capacity centralized cloud infrastructures (e.g., data centers). In such infrastructures, resources are shared in a ...