Conformal Prediction for Federated Uncertainty Quantification Under
Label Shift

Conformal Prediction for Federated Uncertainty Quantification Under Label Shift

8 June 2023

Vincent Plassier

Aleksandr Rubashevskii

Papers citing "Conformal Prediction for Federated Uncertainty Quantification Under Label Shift"

15 / 15 papers shown

Title
Uncertainty Quantification for Machine Learning in Healthcare: A Survey L. J. L. Lopez Shaza Elsharief Dhiyaa Al Jorf Firas Darwish Congbo Ma Farah E. Shamout 208 0 0 04 May 2025
Wasserstein-regularized Conformal Prediction under General Distribution Shift Rui Xu Chao Chen Yue Sun Parvathinathan Venkitasubramaniam Sihong Xie 40 1 0 23 Jan 2025
Theory-inspired Label Shift Adaptation via Aligned Distribution Mixture Ruidong Fan Xiao Ouyang Hong Tao Yuhua Qian Chenping Hou OOD 59 0 0 04 Nov 2024
Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review Nikolas Koutsoubis Asim Waqas Yasin Yilmaz R. Ramachandran M. Schabath Ghulam Rasool 39 1 0 24 Sep 2024
RoCP-GNN: Robust Conformal Prediction for Graph Neural Networks in Node-Classification S. Akansha 45 0 0 25 Aug 2024
Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning Jiaqi Wang Chenxu Zhao Lingjuan Lyu Quanzeng You Mengdi Huai Fenglong Ma FedML 50 3 0 03 Jul 2024
Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation Nikolas Koutsoubis Yasin Yilmaz Ravi P. Ramachandran M. Schabath Ghulam Rasool 39 8 0 18 Jun 2024
Certifiably Byzantine-Robust Federated Conformal Prediction Mintong Kang Zhen Lin Jimeng Sun Cao Xiao Bo Li FedML 53 4 0 04 Jun 2024
FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler Hongyi Peng Han Yu Xiaoli Tang Xiaoxiao Li 52 4 0 24 May 2024
Conditional Shift-Robust Conformal Prediction for Graph Neural Network Akansha Agrawal UQCV 58 1 0 20 May 2024
Multi-Source Conformal Inference Under Distribution Shift Yi Liu Alexander W. Levis Sharon-Lise T. Normand Larry Han OOD 42 7 0 15 May 2024
Distribution-Free Fair Federated Learning with Small Samples Qichuan Yin Junzhou Huang Huaxiu Yao Linjun Zhang FedML 57 0 0 25 Feb 2024
Efficient Conformal Prediction under Data Heterogeneity Vincent Plassier Nikita Kotelevskii Aleksandr Rubashevskii Fedor Noskov Maksim Velikanov Alexander Fishkov Samuel Horváth Martin Takáč Eric Moulines Maxim Panov 46 1 0 25 Dec 2023
Conformal Prediction for Deep Classifier via Label Ranking Jianguo Huang Huajun Xi Linjun Zhang Huaxiu Yao Yue Qiu Hongxin Wei 41 22 0 10 Oct 2023
Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction Meiyi Zhu Matteo Zecchin Sangwoo Park Caili Guo Chunyan Feng Osvaldo Simeone FedML 38 9 0 08 Aug 2023