| Fedml: A research library and benchmark for federated machine learning C He, S Li, J So, X Zeng, M Zhang, H Wang, X Wang, P Vepakomma, ... arXiv preprint arXiv:2007.13518, 2020 | 304 | 2020 |
| Detailed comparison of communication efficiency of split learning and federated learning A Singh, P Vepakomma, O Gupta, R Raskar Arxiv, 2019 | 146 | 2019 |
| Apps gone rogue: Maintaining personal privacy in an epidemic R Raskar, I Schunemann, R Barbar, K Vilcans, J Gray, P Vepakomma, ... arXiv preprint arXiv:2003.08567, 2020 | 132 | 2020 |
| Privacy in deep learning: A survey F Mireshghallah, M Taram, P Vepakomma, A Singh, R Raskar, ... arXiv preprint arXiv:2004.12254, 2020 | 108 | 2020 |
| Public health impact of delaying second dose of BNT162b2 or mRNA-1273 covid-19 vaccine: simulation agent based modeling study S Romero-Brufau, A Chopra, AJ Ryu, E Gel, R Raskar, W Kremers, ... bmj 373, 2021 | 81 | 2021 |
| NoPeek: Information leakage reduction to share activations in distributed deep learning P Vepakomma, A Singh, O Gupta, R Raskar 2020 International Conference on Data Mining Workshops (ICDMW), 933-942, 2020 | 59 | 2020 |
| Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation K Huang, A Singh, S Chen, ET Moseley, C Deng, N George, C Lindvall arXiv preprint arXiv:1912.11975, 2019 | 54 | 2019 |
| SplitNN-driven Vertical Partitioning I Ceballos, V Sharma, E Mugica, A Singh, A Roman, P Vepakomma, ... arXiv preprint arXiv:2008.04137, 2020 | 52 | 2020 |
| DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks A Singh, A Chopra, E Garza, E Zhang, P Vepakomma, V Sharma, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 28 | 2021 |
| MIGAN: Malware Image Synthesis Using GANs A Singh, D Dutta, S Amit Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence 33, 2019 | 25 | 2019 |
| AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning A Chopra, SK Sahu, A Singh, A Java, P Vepakomma, V Sharma, ... arXiv preprint arXiv:2112.01637, 2021 | 15 | 2021 |
| Proximity Sensing: Modeling and Understanding Noisy RSSI-BLE Signals and Other Mobile Sensor Data for Digital Contact Tracing S Shankar, R Kanaparti, A Chopra, R Sukumaran, P Patwa, M Kang, ... arXiv preprint arXiv:2009.04991, 2020 | 13 | 2020 |
| MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation A Karargyris, R Umeton, MJ Sheller, A Aristizabal, J George, S Bala, ... arXiv preprint arXiv:2110.01406, 2021 | 12 | 2021 |
| Proximity Inference with Wifi-Colocation during the COVID-19 Pandemic M Dmitrienko, A Singh, P Erichsen, R Raskar arXiv preprint arXiv:2009.12699, 2020 | 11 | 2020 |
| Adding Location and Global context to the Google/Apple Exposure Notification Bluetooth API R Raskar, A Singh, S Zimmerman, S Kanaparti arXiv preprint arXiv:2007.02317, 2020 | 11 | 2020 |
| Neural architecture construction using envelopenets P Kamath, A Singh, D Dutta arXiv preprint arXiv:1803.06744 1, 2018 | 11 | 2018 |
| NoPeek-Infer: Preventing face reconstruction attacks in distributed inference after on-premise training P Vepakomma, A Singh, E Zhang, O Gupta, R Raskar 2021 16th IEEE International Conference on Automatic Face and Gesture …, 2021 | 9 | 2021 |
| Spatial K-anonymity: A Privacy-preserving Method for COVID-19 Related Geospatial Technologies R Iyer, R Rex, KP McPherson, D Gandhi, A Mahindra, A Singh, R Raskar arXiv preprint arXiv:2101.02556, 2021 | 8 | 2021 |
| Clinical landscape of covid-19 testing: Difficult choices D Gandhi, S Landage, J Bae, S Shankar, R Sukumaran, P Patwa, S TV, ... arXiv preprint arXiv:2011.04202, 2020 | 7 | 2020 |
| Comparing manual contact tracing and digital contact advice R Raskar, R Dhillon, S Kapa, D Pahwa, R Falgas, L Sinha, A Prasad, ... arXiv preprint arXiv:2008.07325, 2020 | 7 | 2020 |
Ramesh RaskarAssociate Professor, MIT Media LabVerified email at mit.edu
