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Forget-SVGD: Particle-Based Bayesian Federated Unlearning


Nov 23, 2021
Jinu Gong, Osvaldo Simeone, Rahif Kassab, Joonhyuk Kang

* submitted for conference publication 

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Spiking Generative Adversarial Networks With a Neural Network Discriminator: Local Training, Bayesian Models, and Continual Meta-Learning


Nov 02, 2021
Bleema Rosenfeld, Osvaldo Simeone, Bipin Rajendran


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BAMLD: Bayesian Active Meta-Learning by Disagreement


Oct 19, 2021
Ivana Nikoloska, Osvaldo Simeone

* submitted for publication 

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An Information-Theoretic Analysis of The Cost of Decentralization for Learning and Inference Under Privacy Constraints


Oct 11, 2021
Sharu Theresa Jose, Osvaldo Simeone

* Under review 

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Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear Filters and Equilibrium Propagation


Oct 01, 2021
Sangwoo Park, Osvaldo Simeone

* submitted for conference publication 

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Wireless Federated Langevin Monte Carlo: Repurposing Channel Noise for Bayesian Sampling and Privacy


Aug 17, 2021
Dongzhu Liu, Osvaldo Simeone

* submitted 

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Multiscale Wavelet Transfer Entropy with Application to Corticomuscular Coupling Analysis


Aug 09, 2021
Zhenghao Guo, Verity M. McClelland, Osvaldo Simeone, Kerry R. Mills, Zoran Cvetkovic

* 12 pages. Accepted version, to appear in IEEE Transactions on Biomedical Engineering 

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Learning to Learn to Demodulate with Uncertainty Quantification via Bayesian Meta-Learning


Aug 02, 2021
Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai

* Submitted for a conference publication 

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Transfer Bayesian Meta-learning via Weighted Free Energy Minimization


Jun 22, 2021
Yunchuan Zhang, Sharu Theresa Jose, Osvaldo Simeone

* 9 pages, 5 figures, submitted 

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