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Gegi Thomas
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2020 – today
- 2023
- [c6]Michelle Brachman
, Qian Pan
Follow the Successful Herd: Towards Explanations for Improved Use and Mental Models of Natural Language Systems. IUI 2023: 220-239 - [c5]Rahul Atul Bhope
FLIPS: Federated Learning using Intelligent Participant Selection. Middleware 2023: 301-315 - [i6]Rahul Atul Bhope, K. R. Jayaram, Nalini Venkatasubramanian, Ashish Verma, Gegi Thomas:
FLIPS: Federated Learning using Intelligent Participant Selection. CoRR abs/2308.03901 (2023) - 2022
- [c4]K. R. Jayaram, Vinod Muthusamy, Gegi Thomas, Ashish Verma, Mark Purcell:
Adaptive Aggregation For Federated Learning. IEEE Big Data 2022: 180-185 - [c3]K. R. Jayaram, Ashish Verma, Gegi Thomas, Vinod Muthusamy:
Just-in-Time Aggregation for Federated Learning. MASCOTS 2022: 1-8 - [i5]K. R. Jayaram, Vinod Muthusamy, Gegi Thomas, Ashish Verma, Mark Purcell:
Adaptive Aggregation For Federated Learning. CoRR abs/2203.12163 (2022) - [i4]K. R. Jayaram, Ashish Verma, Gegi Thomas, Vinod Muthusamy:
Just-in-Time Aggregation for Federated Learning. CoRR abs/2208.09740 (2022) - 2020
- [c2]K. R. Jayaram, Archit Verma, Ashish Verma, Gegi Thomas, Colin Sutcher-Shepard:
MYSTIKO: Cloud-Mediated, Private, Federated Gradient Descent. CLOUD 2020: 201-210 - [i3]Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas, Yi Zhou, Ali Anwar, Shashank Rajamoni, Yuya Jeremy Ong, Jayaram Radhakrishnan, Ashish Verma, Mathieu Sinn, Mark Purcell, Ambrish Rawat, Tran Ngoc Minh, Naoise Holohan, Supriyo Chakraborty, Shalisha Witherspoon, Dean Steuer, Laura Wynter, Hifaz Hassan, Sean Laguna, Mikhail Yurochkin, Mayank Agarwal, Ebube Chuba, Annie Abay:
IBM Federated Learning: an Enterprise Framework White Paper V0.1. CoRR abs/2007.10987 (2020) - [i2]K. R. Jayaram, Archit Verma, Ashish Verma, Gegi Thomas, Colin Sutcher-Shepard:
MYSTIKO : : Cloud-Mediated, Private, Federated Gradient Descent. CoRR abs/2012.00740 (2020)
2010 – 2019
- 2019
- [i1]Atin Sood, Benjamin Elder, Benjamin Herta, Chao Xue, Costas Bekas, A. Cristiano I. Malossi, Debashish Saha, Florian Scheidegger, Ganesh Venkataraman, Gegi Thomas, Giovanni Mariani, Hendrik Strobelt, Horst Samulowitz, Martin Wistuba, Matteo Manica, Mihir R. Choudhury, Rong Yan, Roxana Istrate, Ruchir Puri, Tejaswini Pedapati:
NeuNetS: An Automated Synthesis Engine for Neural Network Design. CoRR abs/1901.06261 (2019) - 2016
- [c1]Joe W. Ligman, Marco Pistoia, Omer Tripp, Gegi Thomas:
Improving design validation of mobile application user interface implementation. MOBILESoft 2016: 277-278 - 2013
- [j3]Paul C. Castro, Joe W. Ligman, Marco Pistoia, John Ponzo, Gegi Thomas, Umut Topkara:
Runtime adaptive multi-factor authentication for mobile devices. IBM J. Res. Dev. 57(6) (2013) - [j2]Paul C. Castro, Joe W. Ligman, Marco Pistoia, John Ponzo, Gegi Thomas, Stephen P. Wood, Mauro Baluda:
Enabling Bring-Your-Own-Device using mobile application instrumentation. IBM J. Res. Dev. 57(6) (2013)
2000 – 2009
- 2004
- [j1]John Ponzo, Laurent D. Hasson, Jobi George, Gegi Thomas, Olivier Gruber, Ravi B. Konuru, Apratim Purakayastha, Robert D. Johnson, Jim Colson, Roger A. Pollak:
On demand Web-client technologies. IBM Syst. J. 43(2): 297-315 (2004)
Coauthor Index
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