AI RESEARCH
Federated Learning with Nonvacuous Generalisation Bounds
arXiv CS.LG
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ArXi:2310.11203v2 Announce Type: replace We then build a global randomised predictor which inherits the properties of the local private predictors in the sense of a PAC-Bayesian generalisation bound. We consider the synchronous case where all nodes share the same