Antonios Georgiadis

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 5

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Top Venues

Publications

Shaltiel Eloul, Fran Silavong, Sanket Kamthe, Antonios Georgiadis, Sean J. Moran
Mixing Gradients in Neural Networks as a Strategy to Enhance Privacy in Federated Learning. WACV (2024)
Shaltiel Eloul, Fran Silavong, Sanket Kamthe, Antonios Georgiadis, Sean J. Moran
Enhancing Privacy against Inversion Attacks in Federated Learning by using Mixing Gradients Strategies. CoRR (2022)
Antonios Georgiadis, Varun Babbar, Fran Silavong, Sean J. Moran, Robert Otter
ST-FL: Style Transfer Preprocessing in Federated Learning for COVID-19 Segmentation. CoRR (2022)
Fran Silavong, Sean J. Moran, Antonios Georgiadis, Rohan Saphal, Robert Otter
Senatus - A Fast and Accurate Code-to-Code Recommendation Engine. MSR (2022)
Fran Silavong, Sean Moran, Antonios Georgiadis, Rohan Saphal, Robert Otter
DeSkew-LSH based Code-to-Code Recommendation Engine. CoRR (2021)