Saikiran Bulusu

According to our database, Saikiran Bulusu authored at least 14 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

On Ordered Transmission Based Distributed Gaussian Shift-in-Mean Detection Under Byzantine Attacks.

Chen Quan, Saikiran Bulusu, Baocheng Geng, Yunghsiang S. Han, Nandan Sriranga, Pramod K. Varshney

IEEE Trans. Signal Process., 2023

1-Bit Compressed Sensing with Local Sparsity Patterns.

Saikiran Bulusu, Venkata Gandikota, Pramod K. Varshney

Proceedings of the IEEE International Symposium on Information Theory, 2023

2022

Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers.

Saikiran Bulusu, Geethu Joseph, Mustafa Cenk Gursoy, Pramod K. Varshney

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Online Identification of Recurring Changepoints.

Nandan Sriranga, Anthony Trezza, Saikiran Bulusu, Donald J. Bucci, Pramod K. Varshney

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

Byzantine Resilient Non-Convex SCSG With Distributed Batch Gradient Computations.

Saikiran Bulusu, Prashant Khanduri, Swatantra Kafle, Pranay Sharma, Pramod K. Varshney

IEEE Trans. Signal Inf. Process. over Networks, 2021

Byzantine Resilient Distributed Clustering with Redundant Data Assignment.

Saikiran Bulusu, Venkata Gandikota, Arya Mazumdar, Ankit Singh Rawat, Pramod K. Varshney

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

Distributed Stochastic Non-Convex Optimization: Momentum-Based Variance Reduction.

Prashant Khanduri, Pranay Sharma, Swatantra Kafle, Saikiran Bulusu, Ketan Rajawat, Pramod K. Varshney

CoRR, 2020

Anomalous Instance Detection in Deep Learning: A Survey.

Saikiran Bulusu, Bhavya Kailkhura, Bo Li, Pramod K. Varshney, Dawn Song

CoRR, 2020

Anomalous Example Detection in Deep Learning: A Survey.

Saikiran Bulusu, Bhavya Kailkhura, Bo Li, Pramod K. Varshney, Dawn Song

IEEE Access, 2020

On Distributed Stochastic Gradient Descent for Nonconvex Functions in the Presence of Byzantines.

Saikiran Bulusu, Prashant Khanduri, Pranay Sharma, Pramod K. Varshney

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Parallel Restarted SPIDER - Communication Efficient Distributed Nonconvex Optimization with Optimal Computation Complexity.

Pranay Sharma, Prashant Khanduri, Saikiran Bulusu, Ketan Rajawat, Pramod K. Varshney

CoRR, 2019

Byzantine Resilient Non-Convex SVRG with Distributed Batch Gradient Computations.

Prashant Khanduri, Saikiran Bulusu, Pranay Sharma, Pramod K. Varshney

CoRR, 2019

On Convex Stochastic Variance Reduced Gradient for Adversarial Machine Learning.

Saikiran Bulusu, Qunwei Li, Pramod K. Varshney

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2018

Rate Adaptation, Scheduling, and Mode Selection in D2D Systems With Partial Channel Knowledge.

Saikiran Bulusu, Neelesh B. Mehta, Suresh Kalyanasundaram

IEEE Trans. Wirel. Commun., 2018