2 papers
cs.CV2025
Benchmarking Federated Learning for Semantic Datasets: Federated Scene Graph Generation
SeungBum Ha, Taehwan Lee, Jiyoun Lim +1
Federated learning (FL) enables decentralized training while preserving data privacy, yet existing FL benchmarks address relatively simple classification tasks, where each sample i…
cs.CV2025
Understanding Flatness in Generative Models: Its Role and Benefits
Taehwan Lee, Kyeongkook Seo, Jaejun Yoo +1
Flat minima, known to enhance generalization and robustness in supervised learning, remain largely unexplored in generative models. In this work, we systematically investigate the…