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Found 5 papers, 2 papers with code
From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations
However, existing time series anomaly detection methods fall short in tackling the unique characteristics of astronomical observations where each star is inherently independent but interfered by random concurrent noise, resulting in a high rate of false alarms.
Cross-silo Federated Learning with Record-level Personalized Differential Privacy
Federated learning enhanced by differential privacy has emerged as a popular approach to better safeguard the privacy of client-side data by protecting clients' contributions during the training process.
Projected Federated Averaging with Heterogeneous Differential Privacy
The challenge is how to use such information without biasing the joint model.
Bacteria and Biotope Entity Recognition Using A Dictionary-Enhanced Neural Network Model
Automatic recognition of biomedical entities in text is the crucial initial step in biomedical text mining.
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