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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.LG2021
Bayesian Variational Federated Learning and Unlearning in Decentralized Networks
Jinu Gong, Osvaldo Simeone, Joonhyuk Kang
Federated Bayesian learning offers a principled framework for the definition of collaborative training algorithms that are able to quantify epistemic uncertainty and to produce tru…