Hanzaleh Akbari Nodehi

According to our database, Hanzaleh Akbari Nodehi authored at least 10 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Learning from Acceptance: Cumulative Regret in the Game of Coding.

Hanzaleh Akbari Nodehi, Parsa Moradi, Mohammad Ali Maddah-Ali

CoRR, May, 2026

\mathsf{VISTA}: Decentralized Machine Learning in Adversary Dominated Environments.

Hanzaleh Akbari Nodehi, Parsa Moradi, Soheil Mohajer, Mohammad Ali Maddah-Ali

CoRR, May, 2026

Game of Coding for Vector-Valued Computations.

Hanzaleh Akbari Nodehi, Parsa Moradi, Soheil Mohajer, Mohammad Ali Maddah-Ali

CoRR, February, 2026

Game of Coding: Coding Theory in the Presence of Rational Adversaries, Motivated by Decentralized Machine Learning.

Hanzaleh Akbari Nodehi, Viveck R. Cadambe, Mohammad Ali Maddah-Ali

CoRR, January, 2026

2025

Game of Coding: Beyond Honest-Majority Assumptions.

Hanzaleh Akbari Nodehi, Viveck R. Cadambe, Mohammad Ali Maddah-Ali

IEEE Trans. Inf. Theory, July, 2025

2024

Game of Coding: Sybil Resistant Decentralized Machine Learning with Minimal Trust Assumption.

Hanzaleh Akbari Nodehi, Viveck R. Cadambe, Mohammad Ali Maddah-Ali

CoRR, 2024

Game of Coding: Beyond Trusted Majorities.

Hanzaleh Akbari Nodehi, Viveck R. Cadambe, Mohammad Ali Maddah-Ali

Proceedings of the IEEE International Symposium on Information Theory, 2024

2021

Secure Coded Multi-Party Computation for Massive Matrix Operations.

Hanzaleh Akbari Nodehi, Mohammad Ali Maddah-Ali

IEEE Trans. Inf. Theory, 2021

2018

Entangled Polynomial Coding in Limited-Sharing Multi-Party Computation.

Hanzaleh Akbari Nodehi, Seyed Reza Hoseini Najarkolaei, Mohammad Ali Maddah-Ali

Proceedings of the IEEE Information Theory Workshop, 2018

Limited-Sharing Multi-Party Computation for Massive Matrix Operations.

Hanzaleh Akbari Nodehi, Mohammad Ali Maddah-Ali

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018