Nirupam Gupta

Rafael Pinot

ACM Comput. Surv., July, 2024

Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients.

[BibT_eX]

[DOI]

CoRR, 2024

Boosting Robustness by Clipping Gradients in Distributed Learning.

[BibT_eX]

[DOI]

CoRR, 2024

On the Relevance of Byzantine Robust Optimization Against Data Poisoning.

[BibT_eX]

[DOI]

CoRR, 2024

Tackling Byzantine Clients in Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Brief Announcement: A Case for Byzantine Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 43rd ACM Symposium on Principles of Distributed Computing, 2024

Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Robust Machine Learning - Distributed Methods for Safe AI

[BibT_eX]

[DOI]

Rachid Guerraoui

Rafael Pinot

Springer, ISBN: 978-981-97-0687-7, 2024

2023

Byzantine Fault-Tolerance in Federated Local SGD Under $2f$-Redundancy.

[BibT_eX]

[DOI]

Thinh T. Doan

IEEE Trans. Control. Netw. Syst., December, 2023

Distributed Learning with Curious and Adversarial Machines.

[BibT_eX]

[DOI]

CoRR, 2023

Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robust Collaborative Learning with Linear Gradient Overhead.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

On the Privacy-Robustness-Utility Trilemma in Distributed Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Impact of Redundancy on Resilience in Distributed Optimization and Learning.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Distributed Computing and Networking, 2023

Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

On Preconditioning of Decentralized Gradient-Descent When Solving a System of Linear Equations.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2022

On the Impossible Safety of Large AI Models.

[BibT_eX]

[DOI]

CoRR, 2022

Making Byzantine Decentralized Learning Efficient.

[BibT_eX]

[DOI]

CoRR, 2022

Iterative pre-conditioning for expediting the distributed gradient-descent method: The case of linear least-squares problem.

[BibT_eX]

[DOI]

Autom., 2022

Democratizing Machine Learning: Resilient Distributed Learning with Heterogeneous Participants.

[BibT_eX]

[DOI]

Proceedings of the 41st International Symposium on Reliable Distributed Systems, 2022

Byzantine Machine Learning Made Easy By Resilient Averaging of Momentums.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

Preserving Statistical Privacy in Distributed Optimization.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2021

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

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2021

Utilizing Redundancy in Cost Functions for Resilience in Distributed Optimization and Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Combining Differential Privacy and Byzantine Resilience in Distributed SGD.

[BibT_eX]

[DOI]

CoRR, 2021

On Accelerating Distributed Convex Optimizations.

[BibT_eX]

[DOI]

CoRR, 2021

Asynchronous Distributed Optimization with Redundancy in Cost Functions.

[BibT_eX]

[DOI]

CoRR, 2021

Byzantine Fault-Tolerance in Peer-to-Peer Distributed Gradient-Descent.

[BibT_eX]

[DOI]

CoRR, 2021

Redundancy in cost functions for Byzantine fault-tolerant federated learning.

[BibT_eX]

[DOI]

Proceedings of the ResilientFL '21: Proceedings of the First Workshop on Systems Challenges in Reliable and Secure Federated Learning, 2021

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

[BibT_eX]

[DOI]

Proceedings of the PODC '21: ACM Symposium on Principles of Distributed Computing, 2021

Approximate Byzantine Fault-Tolerance in Distributed Optimization.

[BibT_eX]

[DOI]

Proceedings of the PODC '21: ACM Symposium on Principles of Distributed Computing, 2021

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

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Byzantine Fault-Tolerant Distributed Machine Learning with Norm-Based Comparative Gradient Elimination.

[BibT_eX]

[DOI]

Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2021

Byzantine Fault-Tolerance in Decentralized Optimization under 2f-Redundancy.

[BibT_eX]

[DOI]

Thinh T. Doan

Proceedings of the 2021 American Control Conference, 2021

2020

False Data Injection Attacks in Bilateral Teleoperation Systems.

[BibT_eX]

[DOI]

Yimeng Dong

IEEE Trans. Control. Syst. Technol., 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Byzantine Fault-Tolerance in Decentralized Optimization under Minimal Redundancy.

[BibT_eX]

[DOI]

Thinh T. Doan

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Resilience in Collaborative Optimization: Redundant and Independent Cost Functions.

[BibT_eX]

[DOI]

CoRR, 2020

Fault-Tolerance in Distributed Optimization: The Case of Redundancy.

[BibT_eX]

[DOI]

Proceedings of the PODC '20: ACM Symposium on Principles of Distributed Computing, 2020

Iterative Pre-Conditioning to Expedite the Gradient-Descent Method.

[BibT_eX]

[DOI]

Proceedings of the 2020 American Control Conference, 2020

2019

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

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Byzantine Fault Tolerant Distributed Linear Regression.

[BibT_eX]

[DOI]

CoRR, 2019

Statistical Privacy in Distributed Average Consensus on Bounded Real Inputs.

[BibT_eX]

[DOI]

Jonathan Katz

Proceedings of the 2019 American Control Conference, 2019

Byzantine Fault-Tolerant Parallelized Stochastic Gradient Descent for Linear Regression.

[BibT_eX]

[DOI]

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018

Information-Theoretic Privacy in Distributed Average Consensus.

[BibT_eX]

[DOI]

Jonathan Katz

CoRR, 2018

Model-Based Encryption: Privacy of States in Networked Control Systems.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017

Robustness of distributive double-integrator consensus to loss of graph connectivity.

[BibT_eX]

[DOI]

Yimeng Dong

Proceedings of the 2017 American Control Conference, 2017

2016

Confidentiality in distributed average information consensus.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

On content modification attacks in bilateral teleoperation systems.

[BibT_eX]

[DOI]

Yimeng Dong