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Tayyebeh Jahani-Nezhad
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2020 – today
- 2024
- [c4]Muah Kim, Tayyebeh Jahani-Nezhad, Shuangyang Li, Rafael F. Schaefer, Giuseppe Caire:
Short-Length Code Designs for Integrated Sensing and Communications Using Deep Learning. ICC 2024: 3536-3541 - [c3]Ali Gholami, Kai Wan, Tayyebeh Jahani-Nezhad, Hua Sun, Mingyue Ji, Giuseppe Caire:
On Multi-Message Private Computation. ISIT 2024: 945-950 - [i8]Sizai Hou, Songze Li, Tayyebeh Jahani-Nezhad, Giuseppe Caire:
PriRoAgg: Achieving Robust Model Aggregation with Minimum Privacy Leakage for Federated Learning. CoRR abs/2407.08954 (2024) - 2023
- [j4]Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali, Songze Li, Giuseppe Caire:
SwiftAgg+: Achieving Asymptotically Optimal Communication Loads in Secure Aggregation for Federated Learning. IEEE J. Sel. Areas Commun. 41(4): 977-989 (2023) - [j3]Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali:
Berrut Approximated Coded Computing: Straggler Resistance Beyond Polynomial Computing. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 111-122 (2023) - [i7]Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali, Giuseppe Caire:
Byzantine-Resistant Secure Aggregation for Federated Learning Based on Coded Computing and Vector Commitment. CoRR abs/2302.09913 (2023) - 2022
- [c2]Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali, Songze Li, Giuseppe Caire:
SwiftAgg: Communication-Efficient and Dropout-Resistant Secure Aggregation for Federated Learning with Worst-Case Security Guarantees. ISIT 2022: 103-108 - [i6]Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali, Songze Li, Giuseppe Caire:
SwiftAgg: Communication-Efficient and Dropout-Resistant Secure Aggregation for Federated Learning with Worst-Case Security Guarantees. CoRR abs/2202.04169 (2022) - [i5]Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali, Songze Li, Giuseppe Caire:
SwiftAgg+: Achieving Asymptotically Optimal Communication Load in Secure Aggregation for Federated Learning. CoRR abs/2203.13060 (2022) - 2021
- [j2]Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali:
Optimal Communication-Computation Trade-Off in Heterogeneous Gradient Coding. IEEE J. Sel. Areas Inf. Theory 2(3): 1002-1011 (2021) - [j1]Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali:
CodedSketch: A Coding Scheme for Distributed Computation of Approximated Matrix Multiplication. IEEE Trans. Inf. Theory 67(6): 4185-4196 (2021) - [i4]Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali:
Optimal Communication-Computation Trade-Off in Heterogeneous Gradient Coding. CoRR abs/2103.01589 (2021) - 2020
- [i3]Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali:
Berrut Approximated Coded Computing: Straggler Resistance Beyond Polynomial Computing. CoRR abs/2009.08327 (2020)
2010 – 2019
- 2019
- [c1]Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali:
CodedSketch: Coded Distributed Computation of Approximated Matrix Multiplication. ISIT 2019: 2489-2493 - 2018
- [i2]Tayyebeh Jahani-Nezhad, Foroogh S. Tabataba:
Performance Analysis of Molecular Spatial Modulation (MSM) in Diffusion based Molecular MIMO Communication Systems. CoRR abs/1809.05954 (2018) - [i1]Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali:
CodedSketch: A Coding Scheme for Distributed Computation of Approximated Matrix Multiplications. CoRR abs/1812.10460 (2018)
Coauthor Index
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