Bio
Waqwoya is a postdoctoral research associate working at the Geospatial Artificial Intelligence (GeoAI) group at Oak Ridge National Laboratory (ORNL). His research area involves privacy preserving federated learning, multi-modal foundation modeling.
He received his doctoral degree from Iowa State University. His doctoral research explored performance boosting in federated and fully decentralized learning, adapting the segment anything model for processing nano particle imagery, and model compression via neural architecture search.
Education
Iowa State University
Professional Affiliations
IEEE
Other Publications
Spatl: salient parameter aggregation and transfer learning for heterogeneous federated learning
The landscape and challenges of HPC research and LLMs
Resource-aware heterogeneous federated learning using neural architecture search
SAM-I-Am: Semantic boosting for zero-shot atomic-scale electron micrograph segmentation
Optimizing decentralized learning with local heterogeneity using topology morphing and clustering