Aug 8, 2023 · In this paper, we consider a wireless federated inference scenario in which devices and a server share a pre-trained machine learning model.
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Mar 9, 2024 · In this paper, we consider a wireless federated inference scenario in which devices and a server share a pre-trained machine learning model.
Aug 9, 2023 · Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction ...
An efficient data-driven prediction strategy for multi-antenna frequency-selective channels must operate based on a small number of pilot symbols. Meta-Learning.
[PDF] Distribution-Free Federated Learning with Conformal Predictions
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This paper proposes to address challenges of widespread deployment of federated models into clinical practice by incorporating an adaptive conformal ...
Federated inference with reliable uncertainty quantification over wireless channels via conformal prediction. M Zhu, M Zecchin, S Park, C Guo, C Feng, O ...
Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction ... Recent work has introduced federated conformal ...
We introduce a novel protocol, termed wireless federated conformal prediction (WFCP), which builds on type-based multiple access (TBMA) and on a novel quantile ...
In this paper, we consider a wireless federated inference scenario in which devices and a server share a pre-trained machine learning model.
Apr 25, 2024 · Federated Inference With Reliable Uncertainty Quantification Over Wireless Channels via Conformal Prediction. IEEE Trans. Signal Process. 72 ...