Federated inference with reliable uncertainty quantification over wireless channels via conformal prediction

M Zhu, M Zecchin, S Park, C Guo… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In this paper, we consider a wireless federated inference scenario in which devices and a
server share a pre-trained machine learning model. The devices communicate statistical …

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

M Zhu, M Zecchin, S Park, C Guo, C Feng… - arXiv preprint arXiv …, 2023 - arxiv.org
Consider a setting in which devices and a server share a pre-trained model. The server
wishes to make an inference on a new input given the model. Devices have access to data …

Federated Inference With Reliable Uncertainty Quantification Over Wireless Channels via Conformal Prediction

M Zhu, M Zecchin, S Park, C Guo… - IEEE Transactions …, 2024 - ui.adsabs.harvard.edu
In this paper, we consider a wireless federated inference scenario in which devices and a
server share a pre-trained machine learning model. The devices communicate statistical …

Federated Inference With Reliable Uncertainty Quantification Over Wireless Channels via Conformal Prediction

M Zhu, M Zecchin, S Park, C Guo, C Feng… - IEEE Transactions on …, 2024 - dl.acm.org
In this paper, we consider a wireless federated inference scenario in which devices and a
server share a pre-trained machine learning model. The devices communicate statistical …

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

M Zhu, M Zecchin, S Park, C Guo, C Feng… - arXiv e …, 2023 - ui.adsabs.harvard.edu
Consider a setting in which devices and a server share a pre-trained model. The server
wishes to make an inference on a new input given the model. Devices have access to data …