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- Local Consensus Description: Local consensus refers to an agreement reached among learning models that operate in a decentralized manner before their updates(...) Read more
- Learning Task Description: The 'Learning Task' in the context of Federated Learning refers to a specific problem or objective that a learning algorithm is(...) Read more
- Learning Rate Finder Description: The 'Learning Rate Finder' is a fundamental tool in the field of machine learning, especially in the context of deep learning. Its(...) Read more
- Learning Rate Adjustment Description: Learning rate adjustment is a fundamental process in the training of machine learning models, especially those using various(...) Read more
- Local Model Update Description: Local model updating is a fundamental process in the realm of federated learning, where the goal is to enhance an artificial(...) Read more
- Learning Agent Description: A learning agent is an entity that interacts with an environment to learn to achieve a specific goal. This concept is fundamental(...) Read more
- Linguistic Hedge Description: The 'Linguistic Hedge' is a term used in linguistics and fuzzy logic to express the degree of uncertainty or imprecision in(...) Read more
- Learning Paradigm Description: The reinforcement learning paradigm is a theoretical framework that describes how agents can learn to make decisions through(...) Read more
- Latent Vector Description: A latent vector is a fundamental concept in the realm of Generative Adversarial Networks (GANs), referring to a point in a(...) Read more
- Latent Distributions Description: Latent distributions in the context of Generative Adversarial Networks (GANs) refer to the probability distributions from which(...) Read more
- Latent Representation Description: Latent representation refers to how data is compressed and organized in a lower-dimensional space, known as latent space. This(...) Read more
- Latent Code Description: Latent Code refers to a representation of data in a latent space, which is a fundamental concept in the realm of Generative(...) Read more
- Linear Transformation Description: Linear transformation is a mathematical operation that transforms data using a linear function. In more technical terms, it is(...) Read more
- Latent Dynamics Description: Latent Dynamics refers to the study of how latent variables, which are not directly observable but influence observable data,(...) Read more
- Local Response Normalization Description: Local response normalization is a technique used in convolutional neural networks (CNNs) that aims to improve the stability and(...) Read more
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