Saikiran Bulusu

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 14

Top Topics

Variance Reduction

Convex Optimization

Top Venues

Publications

Chen Quan, Saikiran Bulusu, Baocheng Geng, Yunghsiang S. Han, Nandan Sriranga, Pramod K. Varshney
On Ordered Transmission Based Distributed Gaussian Shift-in-Mean Detection Under Byzantine Attacks. IEEE Trans. Signal Process. 71 (2023)
Saikiran Bulusu, Venkata Gandikota, Pramod K. Varshney
1-Bit Compressed Sensing with Local Sparsity Patterns. ISIT (2023)
Saikiran Bulusu, Geethu Joseph, Mustafa Cenk Gursoy, Pramod K. Varshney
Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers. NeurIPS (2022)
Nandan Sriranga, Anthony Trezza, Saikiran Bulusu, Donald J. Bucci, Pramod K. Varshney
Online Identification of Recurring Changepoints. IEEECONF (2022)
Saikiran Bulusu, Venkata Gandikota, Arya Mazumdar, Ankit Singh Rawat, Pramod K. Varshney
Byzantine Resilient Distributed Clustering with Redundant Data Assignment. ISIT (2021)
Saikiran Bulusu, Prashant Khanduri, Swatantra Kafle, Pranay Sharma, Pramod K. Varshney
Byzantine Resilient Non-Convex SCSG With Distributed Batch Gradient Computations. IEEE Trans. Signal Inf. Process. over Networks 7 (2021)
Prashant Khanduri, Pranay Sharma, Swatantra Kafle, Saikiran Bulusu, Ketan Rajawat, Pramod K. Varshney
Distributed Stochastic Non-Convex Optimization: Momentum-Based Variance Reduction. CoRR (2020)
Saikiran Bulusu, Prashant Khanduri, Pranay Sharma, Pramod K. Varshney
On Distributed Stochastic Gradient Descent for Nonconvex Functions in the Presence of Byzantines. ICASSP (2020)
Saikiran Bulusu, Bhavya Kailkhura, Bo Li, Pramod K. Varshney, Dawn Song
Anomalous Instance Detection in Deep Learning: A Survey. CoRR (2020)
Saikiran Bulusu, Bhavya Kailkhura, Bo Li, Pramod K. Varshney, Dawn Song
Anomalous Example Detection in Deep Learning: A Survey. IEEE Access 8 (2020)
Pranay Sharma, Prashant Khanduri, Saikiran Bulusu, Ketan Rajawat, Pramod K. Varshney
Parallel Restarted SPIDER - Communication Efficient Distributed Nonconvex Optimization with Optimal Computation Complexity. CoRR (2019)
Saikiran Bulusu, Qunwei Li, Pramod K. Varshney
On Convex Stochastic Variance Reduced Gradient for Adversarial Machine Learning. GlobalSIP (2019)
Prashant Khanduri, Saikiran Bulusu, Pranay Sharma, Pramod K. Varshney
Byzantine Resilient Non-Convex SVRG with Distributed Batch Gradient Computations. CoRR (2019)
Saikiran Bulusu, Neelesh B. Mehta, Suresh Kalyanasundaram
Rate Adaptation, Scheduling, and Mode Selection in D2D Systems With Partial Channel Knowledge. IEEE Trans. Wirel. Commun. 17 (2) (2018)