Tayyebeh Jahani-Nezhad

According to our database, Tayyebeh Jahani-Nezhad authored at least 17 papers between 2018 and 2025.

Collaborative distances:

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

2025

ByzSecAgg: A Byzantine-Resistant Secure Aggregation Scheme for Federated Learning Based on Coded Computing and Vector Commitment.

Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali, Giuseppe Caire

IEEE Trans. Inf. Theory, August, 2025

Fed-DPRoC:Communication-Efficient Differentially Private and Robust Federated Learning.

Yue Xia, Tayyebeh Jahani-Nezhad, Rawad Bitar

CoRR, August, 2025

Optimal Communication-Computation Trade-off in Hierarchical Gradient Coding.

Ali Gholami, Tayyebeh Jahani-Nezhad, Kai Wan, Giuseppe Caire

CoRR, February, 2025

PriRoAgg: Achieving Robust Model Aggregation With Minimum Privacy Leakage for Federated Learning.

Sizai Hou, Songze Li, Tayyebeh Jahani-Nezhad, Giuseppe Caire

IEEE Trans. Inf. Forensics Secur., 2025

2024

Private, Augmentation-Robust and Task-Agnostic Data Valuation Approach for Data Marketplace.

Tayyebeh Jahani-Nezhad, Parsa Moradi, Mohammad Ali Maddah-Ali, Giuseppe Caire

CoRR, 2024

On Multi-Message Private Computation.

Ali Gholami, Kai Wan, Tayyebeh Jahani-Nezhad, Hua Sun, Mingyue Ji, Giuseppe Caire

Proceedings of the IEEE International Symposium on Information Theory, 2024

Short-Length Code Designs for Integrated Sensing and Communications Using Deep Learning.

Muah Kim, Tayyebeh Jahani-Nezhad, Shuangyang Li, Rafael F. Schaefer, Giuseppe Caire

Proceedings of the IEEE International Conference on Communications, 2024

2023

SwiftAgg+: Achieving Asymptotically Optimal Communication Loads in Secure Aggregation for Federated Learning.

Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali, Songze Li, Giuseppe Caire

IEEE J. Sel. Areas Commun., April, 2023

Berrut Approximated Coded Computing: Straggler Resistance Beyond Polynomial Computing.

Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Byzantine-Resistant Secure Aggregation for Federated Learning Based on Coded Computing and Vector Commitment.

Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali, Giuseppe Caire

CoRR, 2023

2022

SwiftAgg+: Achieving Asymptotically Optimal Communication Load in Secure Aggregation for Federated Learning.

Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali, Songze Li, Giuseppe Caire

CoRR, 2022

SwiftAgg: Communication-Efficient and Dropout-Resistant Secure Aggregation for Federated Learning with Worst-Case Security Guarantees.

Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali, Songze Li, Giuseppe Caire

Proceedings of the IEEE International Symposium on Information Theory, 2022

2021

CodedSketch: A Coding Scheme for Distributed Computation of Approximated Matrix Multiplication.

Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali

IEEE Trans. Inf. Theory, 2021

Optimal Communication-Computation Trade-Off in Heterogeneous Gradient Coding.

Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali

IEEE J. Sel. Areas Inf. Theory, 2021

2019

CodedSketch: Coded Distributed Computation of Approximated Matrix Multiplication.

Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali

Proceedings of the IEEE International Symposium on Information Theory, 2019

2018

CodedSketch: A Coding Scheme for Distributed Computation of Approximated Matrix Multiplications.

Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali

CoRR, 2018

Performance Analysis of Molecular Spatial Modulation (MSM) in Diffusion based Molecular MIMO Communication Systems.

Tayyebeh Jahani-Nezhad, Foroogh S. Tabataba

CoRR, 2018