Fedlog Example
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%2C%20the%20common%20paradigm%20that%20FedAvg%20proposes%20and%20most%20algorithms%20follow%20is%20that%20clients%20train%20local%20models%20with%20their%20private%20data%2C%20and%20the%20model%20parameters%20are%20shared%20for%20central%20aggregation%2C%20mostly%20averaging.%20In%20this%20paradigm%2C%20the%20communication%20cost%20is%20often%20a%20challenge%2C%20as%20modern%20massive%20neural%20networks%20can%20contain%20millions%20to%20billions%20parameters.%20We%20suggest%20that%20clients%20do%20not%20share%20model%20parameters%20but%20local%20data%20summaries%2C%20to%20decrease%20the%20cost%20of%20sharing.%20We%20develop%20a%20new%20algorithm%20FedLog%20with%20Bayesian%20inference%2C%20which%20shares%20only%20sufficient%20statistics%20of%20local%20data.%20FedLog%20transmits%20messages%20as%20small%20as%20the%20last%20layer%20of%20the%20original%20model.%20We%20conducted%20comprehensive%20experiments%20to%20show%20we%20outperform%20other%20FL%20algorithms%20that%20aim%20at%20decreasing%20the%20communication%20cost.%20To%20provide%20formal%20privacy%20guarantees%2C%20we%20further%20extend%20FedLog%20with%20differential%20privacy%20and%20show%20the%20trade-off%20between%20privacy%20budget%20and%20accuracy.)















































