A scholar of technology who has in-depth knowledge in data systems, Alok Singh studies how artificial intelligence is ...

To tackle this issue, split federated learning (SFL) has emerged as an FL framework with ... Specifically, we propose the hierarchical SFL (HSFL) framework and derive its convergence bound. Based on ...

The integration facilitates cross-device federated learning, leveraging a hierarchical FL architecture to manage large-scale deployments efficiently. This architecture supports millions of devices, ...

which proposes a new paradigm for pair trading using hierarchical reinforcement learning. It includes the code for the proposed method and experimental results on real-world stock data to demonstrate ...

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Improved AI accuracy with diverse data: Model accuracy relies heavily on data quality and diversity. Federated learning ...