Portrait of Pedro Porto Buarque de Gusmão

Pedro Porto
Buarque de Gusmão

Lecturer in Computer Science, University of Surrey

About

I am a Lecturer in Computer Science at the University of Surrey, where I am part of the Nature Inspired Computing and Engineering (NICE) group. My research is on federated learning, machine unlearning, and privacy-preserving machine learning more broadly.

Before joining Surrey, I was a Senior Research Associate at the University of Cambridge, where I was one of the core developers of Flower, the open-source federated learning framework. Before that, I was a postdoctoral researcher at the University of Oxford, working on localisation and navigation for emergency responders. I hold a PhD from Politecnico di Torino and a BSc in Electrical Engineering from the University of São Paulo.

News

Selected publications

  1. JMLR

    A First Look into the Carbon Footprint of Federated Learning

    Xinchi Qiu, Titouan Parcollet, Javier Fernández-Marqués, Pedro P. B. de Gusmão, Yan Gao, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane

    Journal of Machine Learning Research, 24, 2023

  2. USENIX Sec.

    FedVal: Different Good or Different Bad in Federated Learning

    Viktor Valadi, Xinchi Qiu, Pedro P. B. de Gusmão, Nicholas D. Lane, Mina Alibeigi

    32nd USENIX Security Symposium, 2023

  3. ICCV

    L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning

    Yasar Abbas Ur Rehman, Yan Gao, Pedro P. B. de Gusmão, Mina Alibeigi, Jiajun Shen, Nicholas D. Lane

    IEEE/CVF International Conference on Computer Vision, 2023

  4. ICLR

    ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity

    Xinchi Qiu, Javier Fernández-Marqués, Pedro P. B. de Gusmão, Yan Gao, Titouan Parcollet, Nicholas D. Lane

    International Conference on Learning Representations, 2022

  5. ECCV

    Federated Self-supervised Learning for Video Understanding

    Yasar Abbas Ur Rehman, Yan Gao, Jiajun Shen, Pedro P. B. de Gusmão, Nicholas D. Lane

    European Conference on Computer Vision, 2022

  6. arXiv

    Flower: A Friendly Federated Learning Research Framework

    Daniel J. Beutel, Taner Topal, Akhil Mathur, Xinchi Qiu, Javier Fernández-Marqués, Yan Gao, Lorenzo Sani, Kwing Hei Li, Titouan Parcollet, Pedro P. B. de Gusmão, Nicholas D. Lane

    arXiv preprint arXiv:2007.14390, 2020

All publications