Abstract: Federated learning (FL) is a privacy-preserving alternative to centralized machine learning, where model training is performed on local devices and only global model updates are shared, ...
Sasha Stiles turned GPT-2 experiments into a self-writing poem at a Museum of Modern Art installation—and a new way to think about text-generating AI optimization ...
Abstract: Many existing surrogate-assisted optimization algorithms are limited to designing antennas with continuous variables only. However, numerous challenges emerge when tackling antenna ...