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WebNov 18, 2024 · Bringing tools from machine learning, optimization, control, statistics, statistical physics, and game theory, this project aims to advance the fundamental science of federated or fleet learning – learning from decentralized agents with diverse data — using robotics as an application area to provide a rich and relevant source of data. WebApr 6, 2024 · Methods Problem Statement and Framework Overview. Figure 1 shows the overview of the proposed methodology framework. We employed in this research the model transfer problem for time series prediction to predict scooters’ fleet utilization (Zhang et al. 2024).Given the historical demand data in the source city (Austin) alongside the pilot … arpeggio\u0027s ya
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