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Sai Kiran Bulusu
Sai Kiran Bulusu
在 osu.edu 的电子邮件经过验证 - 首页
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引用次数
引用次数
年份
Anomalous example detection in deep learning: A survey
S Bulusu, B Kailkhura, B Li, PK Varshney, D Song
IEEE Access 8, 132330-132347, 2020
1952020
Anomalous instance detection in deep learning: A survey
S Bulusu, B Kailkhura, B Li, P Varshney, D Song
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2020
602020
Rate adaptation, scheduling, and mode selection in D2D systems with partial channel knowledge
S Bulusu, NB Mehta, S Kalyanasundaram
IEEE Transactions on Wireless Communications 17 (2), 1053-1065, 2017
272017
Parallel Restarted SPIDER--Communication Efficient Distributed Nonconvex Optimization with Optimal Computation Complexity
P Sharma, S Kafle, P Khanduri, S Bulusu, K Rajawat, PK Varshney
arXiv preprint arXiv:1912.06036, 2019
162019
Byzantine resilient non-convex svrg with distributed batch gradient computations
P Khanduri, S Bulusu, P Sharma, PK Varshney
arXiv preprint arXiv:1912.04531, 2019
122019
On distributed stochastic gradient descent for nonconvex functions in the presence of byzantines
S Bulusu, P Khanduri, P Sharma, PK Varshney
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
102020
Byzantine resilient non-convex SCSG with distributed batch gradient computations
S Bulusu, P Khanduri, S Kafle, P Sharma, PK Varshney
IEEE Transactions on Signal and Information Processing over Networks 7, 754-766, 2021
42021
Distributed stochastic non-convex optimization: Momentum-based variance reduction
P Khanduri, P Sharma, S Kafle, S Bulusu, K Rajawat, PK Varshney
arXiv preprint arXiv:2005.00224, 2020
42020
On convex stochastic variance reduced gradient for adversarial machine learning
S Bulusu, Q Li, PK Varshney
2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2019
42019
Ordered Transmission-based Detection in Distributed Networks in the Presence of Byzantines
C Quan, S Bulusu, B Geng, PK Varshney
arXiv preprint arXiv:2201.08737, 2022
32022
On ordered transmission based distributed Gaussian shift-in-mean detection under Byzantine attacks
C Quan, S Bulusu, B Geng, YS Han, N Sriranga, PK Varshney
IEEE Transactions on Signal Processing, 2023
22023
Byzantine resilient distributed clustering with redundant data assignment
S Bulusu, V Gandikota, A Mazumdar, AS Rawat, PK Varshney
2021 IEEE International Symposium on Information Theory (ISIT), 2143-2148, 2021
22021
Algorithms for change detection with unknown number of affected sensors
PS Kumar, BS Kiran, AP Kannu, S Bhashyam
2013 National Conference on Communications (NCC), 1-5, 2013
22013
On Distributed and Asynchronous Sampling of Gaussian Processes for Sequential Binary Hypothesis Testing
N Sriranga, S Bulusu, B Geng, PK Varshney
arXiv preprint arXiv:2309.07855, 2023
2023
1-Bit Compressed Sensing with Local Sparsity Patterns
S Bulusu, V Gandikota, PK Varshney
2023 IEEE International Symposium on Information Theory (ISIT), 1172-1177, 2023
2023
On Robust Machine Learning in the Presence of Adversaries
S Bulusu
Syracuse University, 2023
2023
Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers
S Bulusu, G Joseph, MC Gursoy, P Varshney
2022
Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers
S Bulusu, G Joseph, MC Gursoy, P Varshney
Advances in Neural Information Processing Systems 35, 10959--10969, 2022
2022
Online Identification of Recurring Changepoints
N Sriranga, A Trezza, S Bulusu, DJ Bucci, PK Varshney
2022 56th Asilomar Conference on Signals, Systems, and Computers, 426-430, 2022
2022
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