| Leveraging Coding Techniques for Speeding up Distributed Computing K Konstantinidis, A Ramamoorthy 2018 IEEE Global Communications Conference (GLOBECOM), 1-6, 2018 | 44 | 2018 |
| Resolvable Designs for Speeding Up Distributed Computing K Konstantinidis, A Ramamoorthy IEEE/ACM Transactions on Networking 28 (4), 1657-1670, 2020 | 35 | 2020 |
| Erasure Coding for Distributed Matrix Multiplication for Matrices With Bounded Entries L Tang, K Konstantinidis, A Ramamoorthy IEEE Communications Letters 23 (1), 8-11, 2018 | 21 | 2018 |
| CAMR: Coded Aggregated MapReduce K Konstantinidis, A Ramamoorthy 2019 IEEE International Symposium on Information Theory (ISIT), 1427-1431, 2019 | 11 | 2019 |
| ByzShield: An Efficient and Robust System for Distributed Training K Konstantinidis, A Ramamoorthy Proceedings of Machine Learning and Systems 3, 812-828, 2021 | 10 | 2021 |
| Aspis: Robust Detection for Distributed Learning K Konstantinidis, A Ramamoorthy 2022 IEEE International Symposium on Information Theory (ISIT), 2058-2063, 2022 | 7 | 2022 |
| Efficient Detection and Filtering Systems for Distributed Training K Konstantinidis, A Ramamoorthy arXiv, 2022 | | 2022 |
| Fast Synchronization of FSK Signals K Konstantinidis https://dias.library.tuc.gr/view/manf/67438, 2017 | | 2017 |
Aditya RamamoorthyNorthrop Grumman Professor, Department of Electrical and Computer Engineering, Iowa State UniversityVerified email at iastate.edu
