| 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 | 426 | 2020 |
| Detailed comparison of communication efficiency of split learning and federated learning A Singh, P Vepakomma, O Gupta, R Raskar Arxiv, 2019 | 204 | 2019 |
| Privacy in deep learning: A survey F Mireshghallah, M Taram, P Vepakomma, A Singh, R Raskar, ... arXiv preprint arXiv:2004.12254, 2020 | 152 | 2020 |
| 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 | 141 | 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 | 93 | 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 | 91 | 2020 |
| SplitNN-driven Vertical Partitioning I Ceballos, V Sharma, E Mugica, A Singh, A Roman, P Vepakomma, ... arXiv preprint arXiv:2008.04137, 2020 | 68 | 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 | 66 | 2019 |
| Federated benchmarking of medical artificial intelligence with MedPerf A Karargyris, R Umeton, MJ Sheller, A Aristizabal, J George, A Wuest, ... Nature Machine Intelligence 5 (7), 799-810, 2023 | 49 | 2023 |
| 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 | 37 | 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 | 29 | 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 | 22 | 2021 |
| 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 | 21 | 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 | 17 | 2020 |
| Fedml: A research library and benchmark for federated machine learning. arXiv 2020 C He, S Li, J So, X Zeng, M Zhang, H Wang, X Wang, P Vepakomma, ... arXiv preprint arXiv:2007.13518, 0 | 16 | |
| 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 | 14 | 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 | 14 | 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 | 13 | 2020 |
| Neural architecture construction using envelopenets P Kamath, A Singh, D Dutta arXiv preprint arXiv:1803.06744 1, 2018 | 11 | 2018 |
| Decouple-and-sample: Protecting sensitive information in task agnostic data release A Singh, E Garza, A Chopra, P Vepakomma, V Sharma, R Raskar European Conference on Computer Vision, 499-517, 2022 | 9 | 2022 |
Ramesh RaskarAssociate Professor, MIT Media LabGeverifieerd e-mailadres voor mit.edu
