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Found 2 papers, 2 papers with code
Knowledge-Injected Federated Learning
Federated learning is an emerging technique for training models from decentralized data sets.
Revisiting the Loss Weight Adjustment in Object Detection
However, classification loss always dominates the multi-task loss in anchor-based methods, hampering the consistent and balanced optimization of the tasks.
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