FedExP: Speeding up Federated Averaging via Extrapolation
Divyansh Jhunjhunwala, Shiqiang Wang, et al.
ICLR 2023
Compositional AI systems, which combine multiple artificial intelligence components together with other application components to solve a larger problem, have no known pattern of development and are often approached in a bespoke and ad hoc style. This makes development slower and harder to reuse for future applications. To support the full rapid development cycle of compositional AI applications, we have developed a novel framework called (Bee)* (written as a regular expression and pronounced as "beestar"). We illustrate how (Bee)* supports building integrated, scalable, and interactive compositional AI applications with a simplified developer experience.
Divyansh Jhunjhunwala, Shiqiang Wang, et al.
ICLR 2023
Helgi I. Ingolfsson, Chris Neale, et al.
PNAS
Christopher Giblin, Sean Rooney, et al.
BigData Congress 2021
Romeo Kienzler, Johannes Schmude, et al.
Big Data 2023