NonconvexFederatedLearningonCompactSmoothSubmanifoldsWithHeterogeneousdata
Many machine learning tasks, such as principal component analysis and low-rank matrix completion, gi
Many machine learning tasks, such as principal component analysis and low-rank matrix completion, gi
Predicting edge weights on graphs has various applications, from transportation systems to social ne
Personalized federated learning (PFL) enables customized models for clients with varying data distri
Artificial Intelligence (AI) plays a crucial role in medical field and has the potential to revoluti
LLMs are now responsible for making many decisions on behalf of humans: from answering questions to
We uncover an underlying bias present in the audio recordings produced from the picture description
This paper introduces a highly efficient greedy decoding algorithm for Transducer inference. We prop
As generative Artificial Intelligence (AI) technologies evolve, they offer unprecedented potential t
Transformer-based models have emerged as powerful tools for multivariate time series forecasting (MT
The boardgame Diplomacy is a challenging setting for communicative and cooperative artificial intell