2 papers
cs.LG2026
Information-Theoretically Secure Aggregation for Lightweight Federated Learning: Resilient to Dropouts and Adversaries
Hyeong-Gun Joo, Songnam Hong, Dong-Joon Shin
On-device federated learning (FL) enables privacy-preserving and personalized model training on resource-constrained devices such as smartphones and IoT nodes. To reduce communicat…
cs.LG2025
Hi-SAFE: Hierarchical Secure Aggregation for Lightweight Federated Learning
Hyeong-Gun Joo, Songnam Hong, Seunghwan Lee +1
Federated learning (FL) faces challenges in ensuring both privacy and communication efficiency, particularly in resource-constrained environments such as Internet of Things (IoT) a…