27 citations
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- Politecnico di MilanoIT1 paper
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cs.LG2024★ 3 cited
Asyn2F: An Asynchronous Federated Learning Framework with Bidirectional Model Aggregation
Tien-Dung Cao, Nguyen T. Vuong, Thai Q. Le +2
In federated learning, the models can be trained synchronously or asynchronously. Many research works have focused on developing an aggregation method for the server to aggregate m…
cs.LG2018
EpiRL: A Reinforcement Learning Agent to Facilitate Epistasis Detection
Kexin Huang, Rodrigo Nogueira
Epistasis (gene-gene interaction) is crucial to predicting genetic disease. Our work tackles the computational challenges faced by previous works in epistasis detection by modeling…