Pedro Porto Buarque de Gusmão

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 26

Top Topics

Supervised Learning

Probabilistic Neural Networks

Visual Odometry

Top Venues

IEEE Trans. Robotics

Publications

Yadong Mao, Zhuqi Xiao, Che-Tsung Lin, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Christopher Zach, Mina Alibeigi
Decentralized Training of 3D Lane Detection with Automatic Labeling Using HD Maps. VTC2023-Spring (2023)
Xinchi Qiu, Heng Pan, Wanru Zhao, Chenyang Ma, Pedro Porto Buarque de Gusmão, Nicholas D. Lane
Efficient Vertical Federated Learning with Secure Aggregation. CoRR (2023)
Alex Iacob, Pedro Porto Buarque de Gusmão, Nicholas D. Lane
Can Fair Federated Learning Reduce the need for Personalisation? EuroMLSys@EuroSys (2023)
Alex Iacob, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Armand K. Koupai, Mohammud Junaid Bocus, Raúl Santos-Rodríguez, Robert J. Piechocki, Ryan McConville
Privacy in Multimodal Federated Human Activity Recognition. CoRR (2023)
Yasar Abbas Ur Rehman, Yan Gao, Pedro Porto Buarque de Gusmão, Mina Alibeigi, Jiajun Shen, Nicholas D. Lane
L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning. ICCV (2023)
Alex Iacob, Pedro Porto Buarque de Gusmão, Nicholas D. Lane
Can Fair Federated Learning reduce the need for Personalisation? CoRR (2023)
Viktor Valadi, Xinchi Qiu, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Mina Alibeigi
FedVal: Different good or different bad in federated learning. USENIX Security Symposium (2023)
Yasar Abbas Ur Rehman, Yan Gao, Pedro Porto Buarque de Gusmão, Mina Alibeigi, Jiajun Shen, Nicholas D. Lane
L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning. CoRR (2023)
Lorenzo Sani, Pedro Porto Buarque de Gusmão, Alex Iacob, Wanru Zhao, Xinchi Qiu, Yan Gao, Javier Fernández-Marquás, Nicholas Donald Lane
High-throughput Simulation of Federated Learning via Resource-Aware Client Placement. CoRR (2023)
Viktor Valadi, Xinchi Qiu, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Mina Alibeigi
FedVal: Different good or different bad in federated learning. CoRR (2023)
Yasar Abbas Ur Rehman, Yan Gao, Jiajun Shen, Pedro Porto Buarque de Gusmão, Nicholas D. Lane
Federated Self-supervised Learning for Video Understanding. CoRR (2022)
Muhamad Risqi Utama Saputra, Chris Xiaoxuan Lu, Pedro Porto Buarque de Gusmão, Bing Wang, Andrew Markham, Niki Trigoni
Graph-Based Thermal-Inertial SLAM With Probabilistic Neural Networks. IEEE Trans. Robotics 38 (3) (2022)
Xinchi Qiu, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Yan Gao, Titouan Parcollet, Nicholas Donald Lane
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity. CoRR (2022)
Yasin Almalioglu, Mehmet Turan, Muhamad Risqi Utama Saputra, Pedro Porto Buarque de Gusmão, Andrew Markham, Niki Trigoni
SelfVIO: Self-supervised deep monocular Visual-Inertial Odometry and depth estimation. Neural Networks 150 (2022)
Yasar Abbas Ur Rehman, Yan Gao, Jiajun Shen, Pedro Porto Buarque de Gusmão, Nicholas D. Lane
Federated Self-supervised Learning for Video Understanding. ECCV (31) (2022)
Wanru Zhao, Xinchi Qiu, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Nicholas D. Lane
Protea: Client Profiling within Federated Systems using Flower. CoRR (2022)
Kwing Hei Li, Pedro Porto Buarque de Gusmão, Daniel J. Beutel, Nicholas D. Lane
Secure Aggregation for Federated Learning in Flower. CoRR (2022)
Kwing Hei Li, Pedro Porto Buarque de Gusmão, Daniel J. Beutel, Nicholas D. Lane
Secure aggregation for federated learning in flower. DistributedML@CoNEXT (2021)
Wei Wang, Pedro Porto Buarque de Gusmão, Bo Yang, Andrew Markham, Niki Trigoni
RadarLoc: Learning to Relocalize in FMCW Radar. ICRA (2021)
Xinchi Qiu, Titouan Parcollet, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane
A first look into the carbon footprint of federated learning. CoRR (2021)
Akhil Mathur, Daniel J. Beutel, Pedro Porto Buarque de Gusmão, Javier Fernández-Marqués, Taner Topal, Xinchi Qiu, Titouan Parcollet, Yan Gao, Nicholas D. Lane
On-device Federated Learning with Flower. CoRR (2021)
Muhamad Risqi U. Saputra, Pedro Porto Buarque de Gusmão, Yasin Almalioglu, Andrew Markham, Niki Trigoni
Distilling Knowledge From a Deep Pose Regressor Network. ICCV (2019)
Yasin Almalioglu, Mehmet Turan, Alp Eren Sari, Muhamad Risqi U. Saputra, Pedro Porto Buarque de Gusmão, Andrew Markham, Niki Trigoni
SelfVIO: Self-Supervised Deep Monocular Visual-Inertial Odometry and Depth Estimation. CoRR (2019)
Yasin Almalioglu, Muhamad Risqi U. Saputra, Pedro Porto Buarque de Gusmão, Andrew Markham, Niki Trigoni
GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks. ICRA (2019)
Johan Wahlström, Pedro Porto Buarque de Gusmão, Andrew Markham, Niki Trigoni
Map-aided Navigation for Emergency Searches. DCOSS (2019)
Pedro Porto Buarque de Gusmão, Gianluca Francini, Skjalg Lepsøy, Enrico Magli
Fast Training of Convolutional Neural Networks via Kernel Rescaling. CoRR (2016)