Author

Ravi K. Madduri

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#federated learning Preprint Sep 2026

Towards Global Federated Genome-Wide Association Meta-Analysis Using GA4GH TES

In a five-site simulation, the federated meta-analysis reproduces the association signal expected from a pooled analysis without centralizing any genotype data, showing that standards-based task execution and federated learning enables a practical privacy-preserving infrastructure for international GWAS meta-analysis.

Abhijith Chunduru, M. Joel, Zilinghan Li et al. · 0 citations

#federated learning Preprint Sep 2026

Federated Learning on the American Science Cloud using APPFL

It is argued that offering federated computing as an important AmSC service would unlock privacy-constrained scientific collaborations, enabling public-private partnerships in model building while exercising and enhancing the platform's own federated infrastructure.

Zilinghan Li, Abhijith Chunduru, Harinarayan Krishnan et al. · 0 citations