papers
Publications (16)
cs.DC2015
Fault-Tolerant Distributed Optimization (Part IV): Constrained Optimization with Arbitrary Directed Networks
Lili Su, Nitin H. Vaidya
cs.DC2015
Byzantine Multi-Agent Optimization: Part II
Lili Su, Nitin Vaidya
cs.DC2019
Securing Distributed Gradient Descent in High Dimensional Statistical Learning
Lili Su, Jiaming Xu
cs.DS2014
Computing Similarity Distances Between Rankings
Farzad Farnoud, Lili Su, Gregory J. Puleo +1
q-bio.NC2019
Spike-Based Winner-Take-All Computation: Fundamental Limits and Order-Optimal Circuits
Lili Su, Chia-Jung Chang, Nancy Lynch
cs.DC2018
On the Convergence Rate of Average Consensus and Distributed Optimization over Unreliable Networks
Lili Su
cs.DC2016
Asynchronous Distributed Hypothesis Testing in the Presence of Crash Failures
Lili Su, Nitin H. Vaidya
cs.DC2015
Fault-Tolerant Multi-Agent Optimization: Part III
Lili Su, Nitin Vaidya
cs.DC2015
Byzantine Multi-Agent Optimization: Part I
Lili Su, Nitin Vaidya
cs.DC2019
Distributed Learning with Adversarial Agents Under Relaxed Network Condition
Pooja Vyavahare, Lili Su, Nitin H. Vaidya
cs.DC2015
Reaching Approximate Byzantine Consensus with Multi-hop Communication
Lili Su, Nitin Vaidya
cs.DC2016
Defending Non-Bayesian Learning against Adversarial Attacks
Lili Su, Nitin H. Vaidya
cs.LG2018
Collaboratively Learning the Best Option, Using Bounded Memory
Lili Su, Martin Zubeldia, Nancy Lynch
cs.DC2018
Collaboratively Learning the Best Option on Graphs, Using Bounded Local Memory
Lili Su, Martin Zubeldia, Nancy Lynch
cs.IT2014
Synchronizing Rankings via Interactive Communication
Lili Su, Olgica Milenkovic
cs.DC2017
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent
Yudong Chen, Lili Su, Jiaming Xu