Raskar, Ramesh

Advances and Open Problems in Federated Learning

Kairouz, P., McMahan, H. B., Avent, B., Bellet, A., Bennis, M., Bhagoji, A. N., Bonawitz, K., Charles, Z., Cormode, G., Cummings, R., et al. (2019) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 7,857

Distributed learning of deep neural network over multiple agents

Gupta, O., & Raskar, R. (2018) · Journal of Network and Computer Applications

Privacy-Preserving Technologies in DataDomain Adaptation and Few-Shot Learning

Cited by 726

Active printed materials for complex self-evolving deformations

Raviv, D., Zhao, W., McKnelly, C., Papadopoulou, A., Kadambi, A., Shi, B., Hirsch, S., Dikovsky, D., Zyracki, M., Olguin, C., et al. (2014) · Scientific Reports

Advanced Materials and MechanicsAdditive Manufacturing and 3D Printing Technologies

Cited by 568

Split learning for health: Distributed deep learning without sharing raw patient data

Vepakomma, P., Gupta, O., Swedish, T., & Raskar, R. (2018) · arXiv

Privacy-Preserving Technologies in DataDomain Adaptation and Few-Shot Learning

Cited by 513

Detailed comparison of communication efficiency of split learning and federated learning

Singh, A., Vepakomma, P., Gupta, O., & Raskar, R. (2019) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 148

Privacy in Deep Learning: A Survey

Mireshghallah, F., Taram, M., Vepakomma, P., Singh, A., Raskar, R., & Esmaeilzadeh, H. (2020) · arXiv

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 106

A Review of Homomorphic Encryption Libraries for Secure Computation

Sathya, S. S., Vepakomma, P., Raskar, R., Ramachandra, R., & Bhattacharya, S. (2018) · arXiv

Cryptography and Data SecurityCloud Data Security Solutions

Cited by 37

Terahertz scattering and water absorption for porosimetry

Heshmat, B., Andrews, G. M., Naranjo-Montoya, O. A., Castro-Camus, E., Ciceri, D., Sanchez, A. R., Allanore, A., Kmetz, A. A., Eichmann, S. L., Poitzsch, M. E., et al. (2017) · Optics Express

Terahertz technology and applicationsHydrocarbon exploration and reservoir analysis

Cited by 23

Multi-Velocity Neural Networks for Facial Expression Recognition in Videos

Gupta, O., Raviv, D., & Raskar, R. (2019) · IEEE Transactions on Affective Computing

Emotion and Mood RecognitionHuman Pose and Action Recognition

Cited by 17

What if eye...? Computationally recreating vision evolution

Tiwary, K., Young, A., Tasneem, Z., Klinghoffer, T., Dave, A., Poggio, T., Nilsson, D.-E., Cheung, B., & Raskar, R. (2025) · Science Advances

Evolutionary Algorithms and ApplicationsVisual perception and processing mechanisms

Cited by 10