About
Contact & Profiles
Research Areas
- Welding Techniques and Residual Stresses
- Machine Learning in Materials Science
- Recommender Systems and Techniques
- Greenhouse Technology and Climate Control
- Additive Manufacturing Materials and Processes
- Smart Agriculture and AI
- Privacy-Preserving Technologies in Data
- Remote Sensing in Agriculture
- Caching and Content Delivery
Ulsan National Institute of Science and Technology
2025
Virginia Tech
2024
10.1080/17452759.2025.2474532
article
EN
cc-by-nc
Virtual and Physical Prototyping
2025-03-19
10.17660/actahortic.2025.1426.4
article
EN
Acta Horticulturae
2025-04-01
Federated Learning (FL) is an emerging distributed machine learning (ML) technique that enables in-situ model training and inference on decentralized edge devices. We propose Totoro, a novel scalable FL engine, massive applications to run simultaneously networks. The key insight explore hash table (DHT)-based peer-to-peer (P2P) re-architect the centralized system design into fully one. In contrast previous studies where many shared one parameter server, Totoro assigns dedicated server each...
10.1145/3627703.3629575
article
EN
2024-04-18
10.17660/actahortic.2023.1360.8
article
EN
Acta Horticulturae
2023-02-01
Coming Soon ...