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EXPLORE NORTHEASTERN

Lili Su

Assistant Professor,  Electrical & Computer Engineering

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Research Focus

distributed machine learning, security and fault-tolerance, neural computation, bio-inspired distributed algorithms, blockchains, autonomous cars, algorithm design

Education

  • PhD, Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 2017
  • MS, Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 2014

Research Overview

distributed machine learning, security and fault-tolerance, neural computation, bio-inspired distributed algorithms, blockchains, autonomous cars, algorithm design

Selected Research Projects

  • Distributed Machine Learning Security
    Principle Investigator, Center for Science of Information, National Science Foundation

Selected Publications

  • L. Su, N.H. Vaidya, Non-Bayesian Learning in the Presence of Byzantine Adversaries, Distributed Computing, Springer, 32(4), 2019, 277-289
  • L. Su, P. Yang, On Learning Over-parameterized Neural Networks: A Functional Approximation Perspective, Neural Information Processing Systems (NIPS), 2019, 2641-2650
  • L. Su, J. Xu, Securing Distributed Gradient Descent in High Dimensional Statistical Learning, ACM on Measurement and Analysis of Computing Systems, 3(1), 2019, 12
  • L. Su, C.-J. Chang, N. Lynch, Spike-Based Winner-Take-All Computation: Fundamental Limits and Order-Optimal Circuits, Neural Computation, The MIT Press, 31(12), 2019, 2523-2561
  • Y. Chen, L. Su, J. Xu, Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent,
    ACM on Measurement and Analysis of Computing Systems, 1(2), 2017, 44

Faculty

Sep 02, 2020

New Faculty Spotlight: Lili Su

Lili Su joins the Electrical and Computer Engineering department in August 2020 as an Assistant Professor.

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