Web: http://arxiv.org/abs/2209.07267

Sept. 16, 2022, 1:12 a.m. | Jinu Gong, Osvaldo Simeone, Joonhyuk Kang

cs.LG updates on arXiv.org arxiv.org

Conventional frequentist FL schemes are known to yield overconfident
decisions. Bayesian FL addresses this issue by allowing agents to process and
exchange uncertainty information encoded in distributions over the model
parameters. However, this comes at the cost of a larger per-iteration
communication overhead. This letter investigates whether Bayesian FL can still
provide advantages in terms of calibration when constraining communication
bandwidth. We present compressed particle-based Bayesian FL protocols for FL
and federated "unlearning" that apply quantization and sparsification across
multiple …

arxiv bayesian

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