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Ramtin Pedarsani
Ramtin Pedarsani
Associate Professor, Electrical and Computer Engineering, UC Santa Barbara
Verified email at ece.ucsb.edu - Homepage
Title
Cited by
Cited by
Year
Speeding up distributed machine learning using codes
K Lee, M Lam, R Pedarsani, D Papailiopoulos, K Ramchandran
IEEE Transactions on Information Theory 64 (3), 1514-1529, 2017
7002017
Platoons of connected vehicles can double throughput in urban roads
J Lioris, R Pedarsani, FY Tascikaraoglu, P Varaiya
Transportation Research Part C: Emerging Technologies 77, 292-305, 2017
3082017
Fedpaq: A communication-efficient federated learning method with periodic averaging and quantization
A Reisizadeh, A Mokhtari, H Hassani, A Jadbabaie, R Pedarsani
International Conference on Artificial Intelligence and Statistics, 2021-2031, 2020
3002020
Online coded caching
R Pedarsani, MA Maddah-Ali, U Niesen
IEEE/ACM Transactions on Networking 24 (2), 836-845, 2015
3002015
Coded computation over heterogeneous clusters
A Reisizadeh, S Prakash, R Pedarsani, AS Avestimehr
IEEE Transactions on Information Theory 65 (7), 4227-4242, 2019
2072019
On the construction of polar codes
R Pedarsani, SH Hassani, I Tal, E Telatar
2011 IEEE International Symposium on Information Theory Proceedings, 11-15, 2011
1372011
An exact quantized decentralized gradient descent algorithm
A Reisizadeh, A Mokhtari, H Hassani, R Pedarsani
IEEE Transactions on Signal Processing 67 (19), 4934-4947, 2019
772019
Robust and communication-efficient collaborative learning
A Reisizadeh, H Taheri, A Mokhtari, H Hassani, R Pedarsani
Advances in Neural Information Processing Systems 32, 2019
702019
Saffron: A fast, efficient, and robust framework for group testing based on sparse-graph codes
K Lee, K Chandrasekher, R Pedarsani, K Ramchandran
IEEE Transactions on Signal Processing 67 (17), 4649-4664, 2019
692019
Phasecode: Fast and efficient compressive phase retrieval based on sparse-graph codes
R Pedarsani, D Yin, K Lee, K Ramchandran
IEEE transactions on information theory 63 (6), 3663-3691, 2017
632017
Doubling throughput in urban roads by platooning
J Lioris, R Pedarsani, FY Tascikaraoglu, P Varaiya
IFAC-PapersOnLine 49 (3), 49-54, 2016
622016
Robust federated learning: The case of affine distribution shifts
A Reisizadeh, F Farnia, R Pedarsani, A Jadbabaie
Advances in Neural Information Processing Systems 33, 21554-21565, 2020
572020
Analysis of fixed-time control
A Muralidharan, R Pedarsani, P Varaiya
Transportation Research Part B: Methodological 73, 81-90, 2015
572015
Coded computation for multicore setups
K Lee, R Pedarsani, D Papailiopoulos, K Ramchandran
2017 IEEE International Symposium on Information Theory (ISIT), 2413-2417, 2017
532017
On scheduling redundant requests with cancellation overheads
K Lee, R Pedarsani, K Ramchandran
IEEE/ACM Transactions on Networking 25 (2), 1279-1290, 2016
502016
Coded computing for distributed graph analytics
S Prakash, A Reisizadeh, R Pedarsani, AS Avestimehr
IEEE Transactions on Information Theory 66 (10), 6534-6554, 2020
492020
Capacity modeling and routing for traffic networks with mixed autonomy
DA Lazar, S Coogan, R Pedarsani
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 5678-5683, 2017
472017
Latency analysis of coded computation schemes over wireless networks
A Reisizadeh, R Pedarsani
2017 55th Annual Allerton Conference on Communication, Control, and …, 2017
362017
Dynamic pricing and fleet management for electric autonomous mobility on demand systems
B Turan, R Pedarsani, M Alizadeh
Transportation Research Part C: Emerging Technologies 121, 102829, 2020
34*2020
Sparsity-based defense against adversarial attacks on linear classifiers
Z Marzi, S Gopalakrishnan, U Madhow, R Pedarsani
2018 IEEE International Symposium on Information Theory (ISIT), 31-35, 2018
342018
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