Federated Learning Insights
Christos discusses the innovative applications of differentiable models in wireless channels, particularly for user localization. He shares his passion for federated learning and the challenges of accessing labeled data at the edge. The conversation highlights the need for efficient on-device training and the potential to overcome current constraints, paving the way for advancements in this evolving field.In this clip
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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Hyperparameter Optimization through Neural Network Partitioning with Christos Louizos - 627
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