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Showing 1 to 2 of 2 for “"Decentralized machine learning"”.
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Decentralized Machine Learning over Fragmented Data
… systems and algorithms to decentralize the machine learning pipeline. Current approaches in this area have centered around Federated Learning (FL), which enables model training over distributed data. However, FL’s dependence on central coordination and inflexibility with heterogeneous …
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Federated Learning for Secure Sensor Cloud
… to end-users. Thanks to advancements in machine learning algorithms and big data, the automation of mundane tasks with artificial intelligence is becoming a more reliable smart option. However, existing approaches based on centralized Machine Learning (ML) on sensor cloud networks fail to …