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cs.LG2025
Federated Discrete Denoising Diffusion Model for Molecular Generation with OpenFL
Kevin Ta, Patrick Foley, Mattson Thieme +2
Generating unique molecules with biochemically desired properties to serve as viable drug candidates is a difficult task that requires specialized domain expertise. In recent years…
cs.LG2024
Privacy-Enhancing Collaborative Information Sharing through Federated Learning -- A Case of the Insurance Industry
Panyi Dong, Zhiyu Quan, Brandon Edwards +5
The report demonstrates the benefits (in terms of improved claims loss modeling) of harnessing the value of Federated Learning (FL) to learn a single model across multiple insuranc…