2 papers
cs.LG2026
CT-Merging: Consensus Directions and Task-Level Scaling for LoRA Adapter Merging
Keumseo Ryum, Joonhyuk Kang
LoRA adapters provide an efficient way to specialize a pretrained model for many downstream tasks, but deploying one adapter per task requires adapter storage and task selection at…
cs.LG2025
Resource-Aware Aggregation and Sparsification in Heterogeneous Ensemble Federated Learning
Keumseo Ryum, Jinu Gong, Joonhyuk Kang
Federated learning (FL) enables distributed training with private client data, but its convergence is hindered by system heterogeneity under realistic communication scenarios. Most…