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Found 3 papers, 2 papers with code
Source-free Domain Adaptation Requires Penalized Diversity
In addition, PD is augmented with a weighted MI maximization objective for label distribution shift.
AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation
In Federated Learning (FL), a number of clients or devices collaborate to train a model without sharing their data.
on the effectiveness of generative adversarial network on anomaly detection
Identifying anomalies refers to detecting samples that do not resemble the training data distribution.
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