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- Workforce Collaboration Description: Workforce collaboration in a federated learning environment refers to the act of different entities, such as companies, educational(...) Read more
- Weighted Contribution Description: Weighted Contribution in the context of federated learning refers to the impact that updates from individual trained models on(...) Read more
- Welfare Optimization Description: Welfare optimization in the context of federated learning refers to a strategy that seeks to maximize the overall benefit for all(...) Read more
- Wasserstein GAN Description: The Wasserstein GAN, or WGAN, is a type of Generative Adversarial Network that uses the Wasserstein distance as a loss function,(...) Read more
- WGAN-GP Description: WGAN-GP, or Wasserstein GAN with Gradient Penalty, is a variant of Generative Adversarial Networks (GANs) that introduces an(...) Read more
- Weakly Supervised GAN Description: The Weakly Supervised GAN is a type of generative adversarial network that is trained using a limited set of labeled data, allowing(...) Read more
- Weighted GAN Description: The Weighted GAN is a variant of Generative Adversarial Networks (GAN) that incorporates a weighting system in the training(...) Read more
- WGAN-CT Description: WGAN-CT, or Wasserstein Generative Adversarial Network with Conditional Training, is a variant of Generative Adversarial Networks(...) Read more
- WGAN-QR Description: WGAN-QR, which stands for Wasserstein GAN with Quantile Regression, is a variant of Generative Adversarial Networks (GANs) that(...) Read more
- WGAN-AC Description: WGAN-AC, which stands for Adaptive Capacity Wasserstein GAN, is a variant of Generative Adversarial Networks (GAN) that introduces(...) Read more
- WGAN-SS Description: WGAN-SS, or Wasserstein GAN with Sample Selection, is a variant of Generative Adversarial Networks (GAN) that aims to improve the(...) Read more
- Weighted Features Description: Weighted Features in the context of machine learning refer to the assignment of weights to input features to indicate their(...) Read more
- Word Co-occurrence Description: Word co-occurrence refers to the joint appearance of two or more terms in a specific context, which can provide valuable(...) Read more
- Weighted Decision Description: Weighted Decision is a decision-making process that considers the weights of various options, allowing each alternative to(...) Read more
- Word Encoding Description: Word encoding is the process of converting words into a specific format that allows for efficient processing by language models.(...) Read more
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