28 citations · 126 across the 28 of their papers we have counts for
28 papers
Attention-Based Feature Online Conformal Prediction for Time Series
Meiyi Zhu, Caili Guo, Chunyan Feng +1
Online conformal prediction (OCP) wraps around any pre-trained predictor to produce prediction sets with coverage guarantees that hold irrespective of temporal dependencies or dist…
Conformal Distributed Remote Inference in Sensor Networks Under Reliability and Communication Constraints
Meiyi Zhu, Matteo Zecchin, Sangwoo Park +4
This paper presents communication-constrained distributed conformal risk control (CD-CRC) framework, a novel decision-making framework for sensor networks under communication const…
On the Impact of Uncertainty and Calibration on Likelihood-Ratio Membership Inference Attacks
Meiyi Zhu, Caili Guo, Chunyan Feng +1
In a membership inference attack (MIA), an attacker exploits the overconfidence exhibited by typical machine learning models to determine whether a specific data point was used to…
Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction
Meiyi Zhu, Matteo Zecchin, Sangwoo Park +3
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 inf…
Deep Joint Source-Channel Coding for Wireless Image Transmission with Semantic Importance
Qizheng Sun, Caili Guo, Yang Yang +3
The sixth-generation mobile communication system proposes the vision of smart interconnection of everything, which requires accomplishing communication tasks while ensuring the per…
Information Bottleneck-Inspired Type Based Multiple Access for Remote Estimation in IoT Systems
Meiyi Zhu, Chunyan Feng, Caili Guo +2
Type-based multiple access (TBMA) is a semantics-aware multiple access protocol for remote inference. In TBMA, codewords are reused across transmitting sensors, with each codeword…