Praneeth Vepakomma

Cited by

	All	Since 2020
Citations	10408	10222
h-index	20	20
i10-index	27	26

3100

1550

775

2325

2018201920202021202220232024202528 90 651 1421 2106 2625 3090 320

Public access

View all

2 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Ramesh RaskarAssociate Professor, MIT Media LabVerified email at mit.edu
Bennis MehdiFull Professor, IEEE Fellow, Head of ICON, University of OuluVerified email at oulu.fi
Jihong ParkAssociate Professor, SUTD, SMIEEEVerified email at sutd.edu.sg
Jayashree Kalpathy-CramerUniversity of ColoradoVerified email at cuanschutz.edu
Ken ChangStanford UniversityVerified email at stanford.edu
Salman AvestimehrDean's Professor and Director of USC-Amazon Center on Trustworthy AI, USCVerified email at usc.edu
Chaoyang HeCo-founder, TensorOpera AI and FedML; PhD in CS from University of Southern CaliforniaVerified email at usc.edu
Alex `Sandy' PentlandProfessor MITVerified email at mit.edu
Ahmed ElgammalRutgers UniversityVerified email at cs.rutgers.edu
Niloofar (Fatemeh) MireshghallahPostdoctoral scholar, University of WashingtonVerified email at cs.washington.edu
Nina MiolaneAssistant Professor at UC Santa BarbaraVerified email at ucsb.edu
Mohammad Mohammadi AmiriAssistant Professor at Rensselaer Polytechnic InstituteVerified email at rpi.edu
Yusuke KodaGraduate School of Informatics, Kyoto UniversityVerified email at ieee.org
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Eduard GorbunovResearch Scientist, Mohamed bin Zayed University of Artificial IntelligenceVerified email at mbzuai.ac.ae
Samuel HorvathMohamed bin Zayed University of Artificial Intelligence (MBZUAI)Verified email at mbzuai.ac.ae
Ashok VeeraraghavanProfessor, ECE, Rice UniversityVerified email at rice.edu
Rajiv GuptaMassachusetts General HospitalVerified email at mgh.harvard.edu
Heiko LudwigResearch Manager, IBM ResearchVerified email at us.ibm.com
Alexey TumanovGeorgia Institute of TechnologyVerified email at gatech.edu

Praneeth Vepakomma

Massachusetts Institute of Technology, MBZUAI

Verified email at mit.edu - Homepage

Trustworthy ML Responsible AI Collaborative ML Privacy


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Advances and open problems in federated learning P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... Foundations and trends® in machine learning 14 (1–2), 1-210, 2021	6973	2021
Split Learning for Health: Distributed Deep Learning Without Sharing Raw Patient Data P Vepakomma, O Gupta, T Swedish, R Raskar	766	2019
Fedml: A research library and benchmark for federated machine learning C He, S Li, J So, M Zhang, H Wang, X Wang, P Vepakomma, A Singh, ... SpicyFL, NeurIPS 2020, 2020	505	2020
Detailed comparison of communication efficiency of split learning and federated learning A Singh, P Vepakomma, O Gupta, R Raskar https://arxiv.org/pdf/1909.09145.pdf, 2019	492*	2019
A-Wristocracy: Deep Learning on Wrist-worn Sensing for Recognition of User Complex Activities P Vepakomma, D De, SK Das, S Bhansali IEEE Body Sensor Networks Conference, 2015	183	2015
Split Learning for collaborative deep learning in healthcare MG Poirot, P Vepakomma, K Chang, J Kalpathy-Cramer, R Gupta, ...	177	2019
Privacy in Deep Learning: A Survey F Mirshghallah, M Taram, P Vepakomma, A Singh, R Raskar, ...	174	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	145	2020
No peek: A survey of private distributed deep learning P Vepakomma, T Swedish, R Raskar, O Gupta, A and Dubey arXiv preprint arXiv:1812.03288 8, 2018	136	2018
Reducing Leakage In Distributed Deep Learning For Sensitive Health Data P Vepakomma, O Gupta, D Abhimanyu, R Raskar ICLR AI for Social Good, 2019	112	2019
Assessing Disease Exposure Risk With Location Histories And Protecting Privacy: A Cryptographic Approach In Response To A Global Pandemic A Berke, M Bakker, P Vepakomma, R Raskar, K Larson, AS Pentland	86*	2020
Splitnn-driven vertical partitioning I Ceballos, V Sharma, E Mugica, A Singh, A Roman, P Vepakomma, ... arXiv preprint arXiv:2008.04137, 2020	85	2020
Tristan Swedish, and Ramesh Raskar. 2018. Split learning for health: Distributed deep learning without sharing raw patient data P Vepakomma, O Gupta arXiv preprint arXiv:1812.00564, 2018	67	2018
A Review of Homomorphic Encryption Libraries for Secure Computation SS Sathya, P Vepakomma, R Raskar, R Ramachandra, S Bhattacharya	61	2018
Supervised Dimensionality Reduction via Distance Correlation Maximization P Vepakomma, C Tonde, A Elgammal Electronic Journal of Statistics (Journal) 12 (1), 960-984, 2018	48	2018
LocFedMix-SL: Localize, Federate, and Mix for Improved Scalability, Convergence, and Latency in Split Learning S Oh, J Park, P Vepakomma, S Baek, R Raskar, ... The Web Conference, (WWW 2022), 2022	47	2022
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks A Singh, A Chopra, V Sharma, E Garza, E Zhang, P Vepakomma, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021), 2021	47	2021
Server-Side Local Gradient Averaging and Learning Rate Acceleration for Scalable Split Learning S Pal, M Uniyal, J Park, P Vepakomma, R Raskar, M Bennis, M Jeon, ... arXiv preprint arXiv:2112.05929, 2022	27	2022
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	25	2021
SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models Z Lin, X Hu, Y Zhang, Z Chen, Z Fang, X Chen, A Li, P Vepakomma, ... arXiv preprint arXiv:2407.00952, 2024	20	2024

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors