Shuo Liu

According to our database, Shuo Liu authored at least 8 papers between 2020 and 2023.

Collaborative distances:

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

2023

Impact of Redundancy on Resilience in Distributed Optimization and Learning.

Shuo Liu, Nirupam Gupta, Nitin H. Vaidya

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

2021

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

Shuo Liu, Nirupam Gupta, Nitin H. Vaidya

CoRR, 2021

Asynchronous Distributed Optimization with Redundancy in Cost Functions.

Shuo Liu, Nirupam Gupta, Nitin H. Vaidya

CoRR, 2021

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

Shuo Liu, Nirupam Gupta, Nitin H. Vaidya

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

Approximate Byzantine Fault-Tolerance in Distributed Optimization.

Shuo Liu, Nirupam Gupta, Nitin H. Vaidya

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

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

Nirupam Gupta, Shuo Liu, Nitin H. Vaidya

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

2020

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

Nirupam Gupta, Shuo Liu, Nitin H. Vaidya

CoRR, 2020

Information Exposure From Relational Background Knowledge on Social Media.

Shuo Liu, Lisa Singh, Kevin Tian

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020