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  • Jan
    22

    CS Colloquium - Lili Su - "Learning with Distributed Systems: Adversary-Resilience and Neural Networks"

    Department of Computer Science

    12:00 PM Room 3514, Mudd Hall ( formerly Seeley G. Mudd Library)

    EVENT DETAILSmore info

    Title: Learning with Distributed Systems: Adversary-Resilience and Neural Networks

    Abstract

    In this talk, I will first talk about how to secure Federated Learning (FL) against adversarial faults.

    FL is a new distributed learning paradigm proposed by Google. The goal of FL is to enable the cloud (i.e., the learner) to train a model without collecting the training data from users' mobile devices. Compared with traditional learning, FL suffers serious security issues and several practical constraints call for new security strategies. Towards quantitative and systematic insights into the impacts of those security issues, we formulated and studied the problem of Byzantine-resilient Federated Learning. We proposed two robust learning rules that secure gradient descent against Byzantine faults. The estimation error achieved under our more recently proposed rule is order-optimal in the minimax sense.

    Then, I will briefly talk about our recent results on neural networks, including both biological and artificial neural networks. Notably, our results on the artificial neural networks (i.e., training overparameterized 2-layer neural networks) improved the state-of-the-art. In particular, we showed that nearly-linear network over-parameterization is sufficient for the global convergence of gradient descent.

    Biography

    Lili Su is a postdoc in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT, hosted by Professor Nancy Lynch. She received a Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign in 2017, supervised by Professor Nitin H. Vaidya. Her research intersects distributed systems, learning, security, and brain computing. She was the runner-up for the Best Student Paper Award at DISC 2016, and she received the 2015 Best Student Paper Award at SSS 2015. She received UIUC's Sundaram Seshu International Student Fellowship for 2016, and was invited to participate in Rising Stars in EECS (2018). She has served on TPC for several conferences including ICDCS and ICDCN.

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    TIME Wednesday, January 22, 2020 at 12:00 PM - 1:00 PM

    LOCATION Room 3514, Mudd Hall ( formerly Seeley G. Mudd Library)    map it

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    CONTACT Pam Villalovoz    pmv@northwestern.edu EMAIL

    CALENDAR Department of Computer Science

  • Jan
    20

    Suspension of classes for observance of Martin Luther King Jr. Day

    University Academic Calendar

    All Day

    EVENT DETAILS

    TIME Monday, January 20, 2020

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    CONTACT Office of the Registrar    nu-registrar@northwestern.edu EMAIL

    CALENDAR University Academic Calendar

  • May
    6

    CS Distinguished Seminar - Christos Papadimitriou

    Department of Computer Science

    12:00 PM 3514, Mudd Hall ( formerly Seeley G. Mudd Library)

    EVENT DETAILS

    TIME Wednesday, May 6, 2020 at 12:00 PM - 1:00 PM

    LOCATION 3514, Mudd Hall ( formerly Seeley G. Mudd Library)    map it

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    CONTACT Brianna White    brianna.mello@northwestern.edu EMAIL

    CALENDAR Department of Computer Science

  • May
    20

    CS+X Colloquium - Jian Mia

    Department of Computer Science

    12:00 PM 3514, Mudd Hall ( formerly Seeley G. Mudd Library)

    EVENT DETAILS

    TIME Wednesday, May 20, 2020 at 12:00 PM - 1:00 PM

    LOCATION 3514, Mudd Hall ( formerly Seeley G. Mudd Library)    map it

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    CONTACT Brianna White    brianna.mello@northwestern.edu EMAIL

    CALENDAR Department of Computer Science

  • Jun
    3

    CS Colloqium - Matt Easterday

    Department of Computer Science

    12:00 PM 3514, Mudd Hall ( formerly Seeley G. Mudd Library)

    EVENT DETAILS

    TIME Wednesday, June 3, 2020 at 12:00 PM - 1:00 PM

    LOCATION 3514, Mudd Hall ( formerly Seeley G. Mudd Library)    map it

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    CONTACT Brianna White    brianna.mello@northwestern.edu EMAIL

    CALENDAR Department of Computer Science