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Events

• Jan

  23

  IEMS Seminar: Learning with Distributed Systems: Adversary-Resilience and Neural Networks

  Department of Industrial Engineering and Management Sciences

  11:00 AM M228, Technological Institute

  EVENT DETAILS

  Lili Su

  MIT

  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 over-parameterized 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 Thursday, January 23, 2020 at 11:00 AM - 12:00 PM

  LOCATION M228, Technological Institute    map it

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  CONTACT Agnes Kaminski    a-kaminski@northwestern.edu EMAIL

  CALENDAR Department of Industrial Engineering and Management Sciences

• May

  8

  Extending Care: A Conversation about Conservation and Futurity

  Block Museum of Art

  6:00 PM Block Museum of Art, Mary and Leigh

  EVENT DETAILSmore info

  The Center for Scientific Studies in the Arts is a collaboration between the Art Institute of Chicago and materials science-related departments at Northwestern University to pursue objects-based and objects-inspired scientific research. Materials research benefits ongoing work in conservation, archaeology, art history, and curatorial scholarship.

  Learn how the Center uses materials research to care for art objects in sustainable, innovative ways with Maria Kokkori, Northwestern Associate Professor of Electrical and Computer Engineering and Senior Scientist in the Center for Scientific Studies in the Arts. She will be in conversation with Corey Byrnes, Northwestern Associate Professor of Chinese Culture and co-founder/co-director of the Environmental Humanities Workshop in Kaplan Humanities Center.

  This event is presented by the McCormick School of Engineering and Applied Science in conjunction with exhibition Actions for the Earth: Art, Care & Ecology.

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  TIME Wednesday, May 8, 2024 at 6:00 PM - 7:30 PM

  LOCATION Block Museum of Art, Mary and Leigh    map it

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  CONTACT Block Museum of Art    block-museum@northwestern.edu EMAIL

  CALENDAR Block Museum of Art

• May

  17

  MLDS Exchange 2024

  Master of Science in Machine Learning and Data Science (MLDS)

  9:00 AM 633 N St Clair Street

  EVENT DETAILS

  New Developments, Industrial Applications, and Opportunities in Generative AI

  Join us for an exciting event exploring the latest advancements in Generative AI! This in-person gathering will take place at the Hyatt Centric Chicago Magnificent Mile in Chicago, IL. Discover how Generative AI is revolutionizing varied industries and uncover the endless possibilities it offers. Whether you're a tech enthusiast, researcher, or industry professional, this event is a must-attend. Network with like-minded individuals, engage in thought-provoking discussions, and gain valuable insights from expert speakers. Don't miss out on this unique opportunity to stay ahead of the curve in the world of AI!

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  TIME Friday, May 17, 2024 at 9:00 AM - 5:00 PM

  LOCATION 633 N St Clair Street   

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  CONTACT Master of Science in Machine Learning and Data Science Program    mlds@northwestern.edu EMAIL

  CALENDAR Master of Science in Machine Learning and Data Science (MLDS)

• Jun

  10

  Northwestern Engineering PhD Hooding and Master's Degree Recognition Ceremony

  McCormick School of Engineering and Applied Science

  9:00 AM Welsh-Ryan Arena

  EVENT DETAILSmore info

  McCormick School of Engineering PhD Hooding and Master’s Degree Recognition Ceremony

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  TIME Monday, June 10, 2024 at 9:00 AM - 11:00 AM

  LOCATION Welsh-Ryan Arena   

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  CONTACT Amy Pokrass    amy.pokrass@northwestern.edu EMAIL

  CALENDAR McCormick School of Engineering and Applied Science

• Jun

  10

  Northwestern Engineering Undergraduate Convocation

  McCormick School of Engineering and Applied Science

  2:00 PM Welsh-Ryan Arena

  EVENT DETAILSmore info

  McCormick School of Engineering Undergraduate Convocation

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  TIME Monday, June 10, 2024 at 2:00 PM - 4:00 PM

  LOCATION Welsh-Ryan Arena   

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  CONTACT Amy Pokrass    amy.pokrass@northwestern.edu EMAIL

  CALENDAR McCormick School of Engineering and Applied Science