Speaker: Chenkai Weng Date: Mar 4, 11:45am–12:45pm Abstract: With the advancement of digital globalization and the enhancement of privacy regulations, a conflict between centralized computing and distributed information is emerging. It becomes increasingly important...
Speaker: Kevin Bello Date: Mar 1, 11:45am–12:45pm Abstract: Interpretability and causality are key desiderata in modern machine learning systems. Graphical models, and more specifically directed acyclic graphs (DAGs, a.k.a. Bayesian networks), serve as a...
Michael Gubanov (PI) and Grigory Fedyukovich (co-PI) Awarded a $550,000 NSF Grant to Support Web-scale Knowledge Graph Construction for Data Science
FSU Department of Computer Science faculty Michael Gubanov and Grigory Fedyukovich have been awarded a new NSF grant for the project “Search for the Unknown – A Hybrid Scalable Data Management System Providing Deep Access to the Scientific Knowledge in...
Speaker: Arslan Khan Date: Feb 29, 11:45am–12:45pm Abstract: Embedded systems are low-power resource-constrained devices implementing specialized tasks, unlike general-purpose computers. Embedded systems find applications in various domains, from the Internet of...
Speaker: Minghong Fang Date: Feb 28, 11:45am–12:45pm Abstract: Federated learning is a distributed machine learning approach that enables multiple clients (e.g., smartphones, IoT devices, and edge devices) to collaboratively learn a model with help of a server,...