2 papers
cs.AI2026
CoE: Collaborative Entropy for Uncertainty Quantification in Agentic Multi-LLM Systems
Kangkang Sun, Jun Wu, Jianhua Li +3
Uncertainty estimation in multi-LLM systems remains largely single-model-centric: existing methods quantify uncertainty within each model but do not adequately capture semantic dis…
cs.LG2026
Tackling Privacy Heterogeneity in Differentially Private Federated Learning
Ruichen Xu, Ying-Jun Angela Zhang, Jianwei Huang
Differentially private federated learning (DP-FL) enables clients to collaboratively train machine learning models while preserving the privacy of their local data. However, most e…