Federated Conformal Predictors for Distributed Uncertainty Quantification

27 May 2023

Charles Lu

Yaodong Yu

Sai Praneeth Karimireddy

Papers citing "Federated Conformal Predictors for Distributed Uncertainty Quantification"

28 / 28 papers shown

Title
Segmentation-Guided CT Synthesis with Pixel-Wise Conformal Uncertainty Bounds David Vallmanya Poch Yorick Estievenart Elnura Zhalieva Sukanya Patra Mohammad Yaqub Souhaib Ben Taieb 43 0 0 11 Mar 2025
Wasserstein-regularized Conformal Prediction under General Distribution Shift Rui Xu Chao Chen Yue Sun Parvathinathan Venkitasubramaniam Sihong Xie 26 0 0 23 Jan 2025
Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information Ömer Faruk Akgül R. Kannan Viktor Prasanna FedML 11 0 0 17 Oct 2024
TPFL: A Trustworthy Personalized Federated Learning Framework via Subjective Logic Jinqian Chen Jihua Zhu 16 0 0 16 Oct 2024
Conformal Prediction: A Data Perspective Xiaofan Zhou Baiting Chen Yu Gui Lu Cheng 46 2 0 09 Oct 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 14 1 0 24 Sep 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 29 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 21 7 0 18 Jun 2024
Certifiably Byzantine-Robust Federated Conformal Prediction Mintong Kang Zhen Lin Jimeng Sun Cao Xiao Bo-wen Li FedML 21 3 0 04 Jun 2024
Multi-Source Conformal Inference Under Distribution Shift Yi Liu Alexander W. Levis Sharon-Lise T. Normand Larry Han OOD 19 7 0 15 May 2024
Uncertainty quantification in metric spaces Gábor Lugosi Marcos Matabuena 26 3 0 08 May 2024
Distribution-Free Fair Federated Learning with Small Samples Qichuan Yin Junzhou Huang Huaxiu Yao Linjun Zhang FedML 44 0 0 25 Feb 2024
On Temperature Scaling and Conformal Prediction of Deep Classifiers Lahav Dabah Tom Tirer 25 1 0 08 Feb 2024
Investigating the Quality of DermaMNIST and Fitzpatrick17k Dermatological Image Datasets Kumar Abhishek Aditi Jain Ghassan Hamarneh 28 2 0 25 Jan 2024
Benchmarking LLMs via Uncertainty Quantification Fanghua Ye Mingming Yang Jianhui Pang Longyue Wang Derek F. Wong Emine Yilmaz Shuming Shi Zhaopeng Tu ELM 8 47 0 23 Jan 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 8 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 28 21 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 20 8 0 08 Aug 2023
Revisiting Neural Scaling Laws in Language and Vision Ibrahim M. Alabdulmohsin Behnam Neyshabur Xiaohua Zhai 148 101 0 13 Sep 2022
Three Applications of Conformal Prediction for Rating Breast Density in Mammography Charles Lu Ken Chang Praveer Singh Jayashree Kalpathy-Cramer OOD AI4CE 21 8 0 23 Jun 2022
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification Jiancheng Yang Rui Shi D. Wei Zequan Liu Lin Zhao B. Ke Hanspeter Pfister Bingbing Ni VLM 158 634 0 27 Oct 2021
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control Anastasios Nikolas Angelopoulos Stephen Bates Emmanuel J. Candès Michael I. Jordan Lihua Lei 89 125 0 03 Oct 2021
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset Matthew Groh Caleb Harris L. Soenksen Felix Lau Rachel Han Aerin Kim A. Koochek Omar Badri 99 178 0 20 Apr 2021
Few-shot Conformal Prediction with Auxiliary Tasks Adam Fisch Tal Schuster Tommi Jaakkola Regina Barzilay 176 53 0 17 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Q. Li Yiqun Diao Quan Chen Bingsheng He FedML OOD 85 936 0 03 Feb 2021
Distribution-Free, Risk-Controlling Prediction Sets Stephen Bates Anastasios Nikolas Angelopoulos Lihua Lei Jitendra Malik Michael I. Jordan OOD 173 184 0 07 Jan 2021
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,690 0 18 Mar 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 4,424 0 23 Jan 2020