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Universit茅 Savoie Mont Blanc LISTIC
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Extreme label shifts can be effectively tackled by combining domain adaptation with multitask learning, leading to improved performance in complex image analysis tasks.
Non-IID data traits can drastically influence Federated Learning convergence, with measurable impacts that practitioners can leverage for more stable training outcomes.
