Federated Inference with Reliable Uncertainty Quantification over
Wireless Channels via Conformal Prediction

Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction

8 August 2023

Sangwoo Park

Caili Guo

Osvaldo Simeone

Papers citing "Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction"

15 / 15 papers shown

Title
What If We Had Used a Different App? Reliable Counterfactual KPI Analysis in Wireless Systems Qiushuo Hou Sangwoo Park Matteo Zecchin Yunlong Cai Guanding Yu Osvaldo Simeone 432 1 0 30 Sep 2024
Conformal Distributed Remote Inference in Sensor Networks Under Reliability and Communication Constraints Meiyi Zhu Matteo Zecchin Sangwoo Park Caili Guo Chunyan Feng P. Popovski Osvaldo Simeone 79 3 0 12 Sep 2024
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift Vincent Plassier Mehdi Makni Aleksandr Rubashevskii Eric Moulines Maxim Panov FedML 48 17 0 08 Jun 2023
Predictive Inference with Feature Conformal Prediction Jiaye Teng Chuan Wen Dinghuai Zhang Yoshua Bengio Yang Gao Yang Yuan 86 27 0 01 Oct 2022
Probabilistic Conformal Prediction Using Conditional Random Samples Zhendong Wang Ruijiang Gao Mingzhang Yin Mingyuan Zhou David M. Blei TPM 92 25 0 14 Jun 2022
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification Anastasios Nikolas Angelopoulos Stephen Bates OOD 195 616 0 15 Jul 2021
Private Prediction Sets Anastasios Nikolas Angelopoulos Stephen Bates Tijana Zrnic Michael I. Jordan 40 12 0 11 Feb 2021
Federated Learning on the Road: Autonomous Controller Design for Connected and Autonomous Vehicles Tengchan Zeng Omid Semiariy Mingzhe Chen Walid Saad M. Bennis FedML 43 85 0 05 Feb 2021
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis Hong Xing Osvaldo Simeone Suzhi Bi 95 95 0 29 Jan 2021
Classification with Valid and Adaptive Coverage Yaniv Romano Matteo Sesia Emmanuel J. Candès 387 324 0 03 Jun 2020
Towards Federated Learning at Scale: System Design Keith Bonawitz Hubert Eichner W. Grieskamp Dzmitry Huba A. Ingerman ... H. B. McMahan Timon Van Overveldt David Petrou Daniel Ramage Jason Roselander FedML 121 2,664 0 04 Feb 2019
Broadband Analog Aggregation for Low-Latency Federated Edge Learning (Extended Version) Guangxu Zhu Yong Wang Kaibin Huang FedML 67 643 0 30 Dec 2018
LEAF: A Benchmark for Federated Settings S. Caldas Sai Meher Karthik Duddu Peter Wu Tian Li Jakub Konecný H. B. McMahan Virginia Smith Ameet Talwalkar FedML 137 1,419 0 03 Dec 2018
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 397 17,468 0 17 Feb 2016
On Stochastic Geometry Modeling of Cellular Uplink Transmission with Truncated Channel Inversion Power Control Hesham Elsawy Ekram Hossain 30 248 0 23 Jan 2014