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08/08/2023
Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction
Consider a setting in which devices and a server share a pre-trained mod...
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04/25/2023
User-Centric Federated Learning: Trading off Wireless Resources for Personalization
Statistical heterogeneity across clients in a Federated Learning (FL) sy...
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03/07/2023
When is Importance Weighting Correction Needed for Covariate Shift Adaptation?
This paper investigates when the importance weighting (IW) correction is...
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07/01/2022
Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications
This work takes a critical look at the application of conventional machi...
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05/31/2022
Communication-Efficient Distributionally Robust Decentralized Learning
Decentralized learning algorithms empower interconnected edge devices to...
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03/03/2022
Robust PAC^m: Training Ensemble Models Under Model Misspecification and Outliers
Standard Bayesian learning is known to have suboptimal generalization ca...
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03/02/2022
UAV-Aided Decentralized Learning over Mesh Networks
Decentralized learning empowers wireless network devices to collaborativ...
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02/02/2022
Asynchronous Decentralized Learning over Unreliable Wireless Networks
Decentralized learning enables edge users to collaboratively train model...
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10/19/2021
User-Centric Federated Learning
Data heterogeneity across participating devices poses one of the main ch...
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04/29/2021
A Novel Look at LIDAR-aided Data-driven mmWave Beam Selection
Efficient millimeter wave (mmWave) beam selection in vehicle-to-infrastr...
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07/28/2020