FedGen: Generalizable Federated Learning for Sequential Data
Praveen Venkateswaran, Vatche Isahagian, et al.
CLOUD 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.
Praveen Venkateswaran, Vatche Isahagian, et al.
CLOUD 2023
Alexander Erben, Gauri Joshi, et al.
ICML 2025
Shiqiang Wang, Mingyue Ji
NeurIPS 2022
Herbert Woisetschläger, Alexander Erben, et al.
Middleware 2024