Federated learning with LSTM and graph-attention models can predict node-level epidemic states on partitioned networks, with FedProx aggregation and balanced graph partitions performing best overall.
Essai d’une nouvelle analyse de la mortalit´ e caus´ ee par la petite v´ erole, et des avantages de l’inoculation pour la pr´ evenir,
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Towards the efficacy of federated prediction for epidemics on networks
Federated learning with LSTM and graph-attention models can predict node-level epidemic states on partitioned networks, with FedProx aggregation and balanced graph partitions performing best overall.