Sadaf Salehkalaibar

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Assistant Professor,
Department of Computer Science,
University of Manitoba,
Winnipeg, Canada,
E-Mail: Sadaf.Salehkalaibar [@] umanitoba [DOT] ca

About me

I am an assistant professor at the department of Computer Science, University of Manitoba. Prior to that, I was a research associate at the University of Toronto. I held an assistant professor position at the University of Tehran and several sabbatical opportunities at McMaster University, Telecom Paristech and National University of Singapore. I am particularly interested in statistical machine learning, distributed learning and privacy/security challenges in Internet of Things. I am focused on developing efficient algorithms for explainable artificial intelligence and learning large models.

News

  • April 2024: I will join the department of Computer Science at the University of Manitoba as an assistant professor starting from July 1, 2024.

  • April 2024: Our paper "Rate-distortion-perception tradeoff for lossy compression using conditional perception measure" was accepted at ISIT 2024.

  • April 2024: Our paper "Rate-distortion-perception function of Gaussian vector sources" was accepted as a spotlight paper in Learn to Compress workshop of ISIT 2024.

  • October 2023: Our paper "M22: A communication-efficient algorithm for federated learning inspired by rate-distortion" was published in IEEE Trans. on Communications.

  • September 2023: Our paper "On the choice of perception loss function for learned video compression" was accepted in NeurIPS 2023.

  • August 2023: Our paper "On the choice of perception loss function for learned video compression" was accepted as a spotlight paper in Neural Compression Workshop of ICML 2023.

  • June 2023: Our paper "M22: Rate-Distortion Inspired Gradient Compression" was published in proceedings of ICASSP 2023.

  • May 2023: I will serve as an organizer and a member of technical program committee for North American School of Information Theory, 2024.