Abstract: Reliable and efficient trajectory generation methods are a fundamental need for autonomous dynamical systems. The goal of this article is to provide a comprehensive tutorial of three major ...

Abstract: Model-heterogeneous federated learning (MHFL), supporting FL collaboration across clients with heterogeneous models, has become a more practical FL paradigm. Existing MHFL methods enable ...

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Catalyst is a PyTorch framework for Deep Learning Research and Development. It focuses on reproducibility, rapid experimentation, and codebase reuse so you can create something new rather than write ...

The strongest campaigns connect creative, media, search, and measurement into a single demand generation strategy.