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Bridging Data Barriers among Participants: Assessing the Potential of Geoenergy through Federated Learning
To ascertain the merits of the proposed FL-XGBoost method, a comparative analysis is conducted between separate and centralized models to address a classical binary classification problem in geoenergy sector.
Accelerate CU Partition in HEVC using Large-Scale Convolutional Neural Network
High efficiency video coding (HEVC) suffers high encoding computational complexity, partly attributed to the rate-distortion optimization quad-tree search in CU partition decision.
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