Nirupam Gupta

According to our database1, Nirupam Gupta authored at least 23 papers between 2016 and 2021.

Collaborative distances:



In proceedings 
PhD thesis 




Preserving Statistical Privacy in Distributed Optimization.
IEEE Control. Syst. Lett., 2021

Differential Privacy and Byzantine Resilience in SGD: Do They Add Up?
CoRR, 2021

Byzantine Fault-Tolerance in Peer-to-Peer Distributed Gradient-Descent.
CoRR, 2021

Robustness of Iteratively Pre-Conditioned Gradient-Descent Method: The Case of Distributed Linear Regression Problem.
CoRR, 2021

Approximate Byzantine Fault-Tolerance in Distributed Optimization.
CoRR, 2021

False Data Injection Attacks in Bilateral Teleoperation Systems.
IEEE Trans. Control. Syst. Technol., 2020

Accelerating Distributed SGD for Linear Linear Regression using Iterative Pre-Conditioning.
CoRR, 2020

Byzantine Fault-Tolerance in Decentralized Optimization under Minimal Redundancy.
CoRR, 2020

Byzantine Fault-Tolerant Distributed Machine Learning Using Stochastic Gradient Descent (SGD) and Norm-Based Comparative Gradient Elimination (CGE).
CoRR, 2020

Iterative Pre-Conditioning for Expediting the Gradient-Descent Method: The Distributed Linear Least-Squares Problem.
CoRR, 2020

Resilience in Collaborative Optimization: Redundant and Independent Cost Functions.
CoRR, 2020

Fault-Tolerance in Distributed Optimization: The Case of Redundancy.
Proceedings of the PODC '20: ACM Symposium on Principles of Distributed Computing, 2020

Iterative Pre-Conditioning to Expedite the Gradient-Descent Method.
Proceedings of the 2020 American Control Conference, 2020

Randomized Reactive Redundancy for Byzantine Fault-Tolerance in Parallelized Learning.
CoRR, 2019

Privacy of Agents' Costs in Peer-to-Peer Distributed Optimization.
CoRR, 2019

Byzantine Fault Tolerant Distributed Linear Regression.
CoRR, 2019

Statistical Privacy in Distributed Average Consensus on Bounded Real Inputs.
Proceedings of the 2019 American Control Conference, 2019

Byzantine Fault-Tolerant Parallelized Stochastic Gradient Descent for Linear Regression.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

Information-Theoretic Privacy in Distributed Average Consensus.
CoRR, 2018

Model-Based Encryption: Privacy of States in Networked Control Systems.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

Robustness of distributive double-integrator consensus to loss of graph connectivity.
Proceedings of the 2017 American Control Conference, 2017

Confidentiality in distributed average information consensus.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

On content modification attacks in bilateral teleoperation systems.
Proceedings of the 2016 American Control Conference, 2016