31 citations · 77 across the 11 of their papers we have counts for
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cs.LG2022★ 27 cited
Client Selection for Federated Bayesian Learning
Jiarong Yang, Yuan Liu, Rahif Kassab
Distributed Stein Variational Gradient Descent (DSVGD) is a non-parametric distributed learning framework for federated Bayesian learning, where multiple clients jointly train a ma…
cs.LG2021
Forget-SVGD: Particle-Based Bayesian Federated Unlearning
Jinu Gong, Osvaldo Simeone, Rahif Kassab +1
Variational particle-based Bayesian learning methods have the advantage of not being limited by the bias affecting more conventional parametric techniques. This paper proposes to l…
cs.LG2020★ 5 cited
Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent
Rahif Kassab, Osvaldo Simeone
This paper introduces Distributed Stein Variational Gradient Descent (DSVGD), a non-parametric generalized Bayesian inference framework for federated learning. DSVGD maintains a nu…