Adaptive Coding for Matrix Multiplication at Edge Networks. - Elahe Vedadi; Hulya Seferoglu (ISIT, 2021)

Coded Privacy-Preserving Computation at Edge Networks. - Elahe Vedadi; Yasaman Keshtkarjahromi; Hulya Seferoglu (CoRR, 2021)

Adaptive Gap Entangled Polynomial Coding for Multi-Party Computation at the Edge. - Elahe Vedadi; Yasaman Keshtkarjahromi; Hulya Seferoglu (ISIT, 2022)

PolyDot Coded Privacy Preserving Multi-Party Computation at the Edge. - Elahe Vedadi; Yasaman Keshtkarjahromi; Hulya Seferoglu (SPAWC, 2022)

Capabilities of Gemini Models in Medicine. - Khaled Saab 003; Tao Tu 001; Wei-Hung Weng; Ryutaro Tanno; David Stutz; Ellery Wulczyn; Fan Zhang; Tim Strother; Chunjong Park; Elahe Vedadi; Juanma Zambrano Chaves; Szu-Yeu Hu; et al. (CoRR, 2024)

Efficient Coded Multi-Party Computation at Edge Networks. - Elahe Vedadi; Yasaman Keshtkarjahromi; Hulya Seferoglu (IEEE Trans. Inf. Forensics Secur., 2024)

Federated Variational Inference: Towards Improved Personalization and Generalization. - Elahe Vedadi; Joshua V. Dillon; Philip Andrew Mansfield; Karan Singhal; Arash Afkanpour; Warren Richard Morningstar (Trans. Mach. Learn. Res., 2024)

Advancing Conversational Diagnostic AI with Multimodal Reasoning. - Khaled Saab 003; Jan Freyberg; Chunjong Park; Tim Strother; Yong Cheng; Wei-Hung Weng; David G. T. Barrett; David Stutz; Nenad Tomasev; Anil Palepu; Valentin Liévin; Yash Sharma; et al. (CoRR, 2025)

Towards physician-centered oversight of conversational diagnostic AI. - Elahe Vedadi; David G. T. Barrett; Natalie Harris; Ellery Wulczyn; Shashir Reddy; Roma Ruparel; Mike Schaekermann; Tim Strother; Ryutaro Tanno; Yash Sharma; Jihyeon Lee; Cían Hughes; et al. (CoRR, 2025)