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Found 3 papers, 1 papers with code
Towards Pareto Optimal Throughput in Small Language Model Serving
Large language models (LLMs) have revolutionized the state-of-the-art of many different natural language processing tasks.
FedCore: Straggler-Free Federated Learning with Distributed Coresets
Federated learning (FL) is a machine learning paradigm that allows multiple clients to collaboratively train a shared model while keeping their data on-premise.
Learning temporal evolution of probability distribution with Recurrent Neural Network
We propose to tackle a time series regression problem by computing temporal evolution of a probability density function to provide a probabilistic forecast.
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