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Found 2 papers, 1 papers with code
Privacy-Preserving Taxi-Demand Prediction Using Federated Learning
Taxi-demand prediction is an important application of machine learning that enables taxi-providing facilities to optimize their operations and city planners to improve transportation infrastructure and services.
Membership Inference Attacks against Diffusion Models
We primarily discuss the diffusion model from the standpoints of comparison with a generative adversarial network (GAN) as conventional models and hyperparameters unique to the diffusion model, i. e., time steps, sampling steps, and sampling variances.
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