Lili Su
Title
Cited by
Cited by
Year
Distributed statistical machine learning in adversarial settings: Byzantine gradient descent
Y Chen, L Su, J Xu
Proceedings of the ACM on Measurement and Analysis of Computing Systems 1 (2 …, 2017
1442017
Fault-tolerant multi-agent optimization: optimal iterative distributed algorithms
L Su, NH Vaidya
Proceedings of the 2016 ACM symposium on principles of distributed computing …, 2016
622016
Non-bayesian learning in the presence of byzantine agents
L Su, NH Vaidya
International symposium on distributed computing, 414-427, 2016
282016
Byzantine Multi-Agent Optimization: Part II
L Su, N Vaidya
arXiv preprint arXiv:1507.01845, 2015
282015
Byzantine multi-agent optimization: Part I
L Su, N Vaidya
arXiv preprint arXiv:1506.04681, 2015
282015
Reaching approximate Byzantine consensus with multi-hop communication
L Su, NH Vaidya
Information and Computation 255, 352-368, 2017
242017
Defending Non-Bayesian Learning against Adversarial Attacks
L Su, NH Vaidya
Distributed Computing arXiv: 1606.08883, 2016
242016
Securing distributed machine learning in high dimensions
L Su, J Xu
SIGMETRICS 2019 arXiv preprint arXiv:1804.10140, 2018
23*2018
On Learning Over-parameterized Neural Networks: A Functional Approximation Perspective
L Su, P Yang
NeurIPS2019, 2019
152019
Fault-tolerant distributed optimization (Part IV): Constrained optimization with arbitrary directed networks
L Su, NH Vaidya
arXiv preprint arXiv:1511.01821, 2015
142015
Finite-time guarantees for Byzantine-resilient distributed state estimation with noisy measurements
L Su, S Shahrampour
Transactions on Automatic Control (TAC), 2020
122020
Multi-agent optimization in the presence of Byzantine adversaries: Fundamental limits
LSN Vaidya
2016 American Control Conference (ACC), 7183-7188, 2016
122016
Fault-tolerant multi-agent optimization: Part iii
L Su, N Vaidya
arXiv preprint arXiv:1509.01864, 2015
11*2015
Asynchronous distributed hypothesis testing in the presence of crash failures
L Su, NH Vaidya
arXiv preprint arXiv:1606.03418, 2016
92016
Defending Distributed Systems Against Adversarial Attacks: Consensus, Consensusbased Learning, and Statistical Learning
L Su
ACM SIGMETRICS Performance Evaluation Review 47 (3), 24-27, 2020
72020
Ant-inspired dynamic task allocation via gossiping
HH Su, L Su, A Dornhaus, N Lynch
International Symposium on Stabilization, Safety, and Security of …, 2017
52017
Robust multi-agent optimization: coping with byzantine agents with input redundancy
L Su, NH Vaidya
International Symposium on Stabilization, Safety, and Security of …, 2016
52016
Spike-Based Winner-Take-All Computation: Fundamental Limits and Order-Optimal Circuits
L Su, CJ Chang, N Lynch
Neural Computation 31, 2523-2561, 2019
42019
Synchronizing rankings via interactive communication
L Su, O Milenkovic
2014 IEEE International Symposium on Information Theory, 1056-1060, 2014
42014
Collaboratively learning the best option on graphs, using bounded local memory
L Su, M Zubeldia, N Lynch
Proceedings of the ACM on Measurement and Analysis of Computing Systems 3 (1 …, 2019
32019
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Articles 1–20