Stock splits have seen a renaissance in recent years. Historically, forward stock splits suggest a company is firing on all cylinders. Both Netflix and ServiceNow have a record of consistent growth ...
Abstract: Parallel Split Learning (SL) allows resource-constrained devices that cannot participate in Federated Learning (FL) to train deep neural networks (NNs) by splitting the NN model into parts.
Excitement surrounding stock splits remains a key driver of investor optimism on Wall Street. The most logical candidate to be the blockbuster stock split of the year is a unique member of the ...
Abstract: This paper investigates the problem of finite-time stabilization and trajectory tracking control of a nonholonomic wheeled mobile robot (NWMR) under input constraints. Based on the ...