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2020 – today
- 2024
[c21]Kin Wai Lau
, Yasar Abbas Ur Rehman, Pedro Porto Buarque de Gusmão, Lai-Man Po, Lan Ma, Yuyang Xie:
FedRepOpt: Gradient Re-parametrized Optimizers in Federated Learning. ACCV (8) 2024: 74-90- [i28]Xinchi Qiu, Yan Gao, Lorenzo Sani, Heng Pan, Wanru Zhao, Pedro P. B. de Gusmao, Mina Alibeigi, Alex Iacob, Nicholas D. Lane:
FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients. CoRR abs/2402.10191 (2024) - [i27]Kin Wai Lau, Yasar Abbas Ur Rehman, Pedro Porto Buarque de Gusmão, Lai-Man Po, Lan Ma, Yuyang Xie:
FedRepOpt: Gradient Re-parametrized Optimizers in Federated Learning. CoRR abs/2409.15898 (2024) - [i26]Fermin Orozco, Pedro Porto Buarque de Gusmão, Hongkai Wen, Johan Wahlström, Man Luo:
Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation. CoRR abs/2412.08460 (2024) - 2023
- [j4]Xinchi Qiu, Titouan Parcollet, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Yan Gao, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane:
A First Look into the Carbon Footprint of Federated Learning. J. Mach. Learn. Res. 24: 129:1-129:23 (2023) - [c20]Alex Iacob, Pedro Porto Buarque de Gusmão, Nicholas D. Lane:
Can Fair Federated Learning Reduce the need for Personalisation? EuroMLSys@EuroSys 2023: 131-139 - [c19]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: 16418-16427 - [c18]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: 6365-6380 - [c17]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: 1-7 - [i25]Alex Iacob, Pedro Porto Buarque de Gusmão, Nicholas D. Lane:
Can Fair Federated Learning reduce the need for Personalisation? CoRR abs/2305.02728 (2023) - [i24]Xinchi Qiu, Heng Pan, Wanru Zhao, Chenyang Ma, Pedro Porto Buarque de Gusmão, Nicholas D. Lane:
Efficient Vertical Federated Learning with Secure Aggregation. CoRR abs/2305.11236 (2023) - [i23]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 abs/2305.12134 (2023) - [i22]Xinchi Qiu, Heng Pan, Wanru Zhao, Chenyang Ma, Pedro P. B. de Gusmao, Nicholas D. Lane:
vFedSec: Efficient Secure Aggregation for Vertical Federated Learning via Secure Layer. CoRR abs/2305.16794 (2023) - [i21]Viktor Valadi, Xinchi Qiu, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Mina Alibeigi:
FedVal: Different good or different bad in federated learning. CoRR abs/2306.04040 (2023) - [i20]Lorenzo Sani, Pedro Porto Buarque de Gusmão, Alex Iacob, Wanru Zhao, Xinchi Qiu, Yan Gao, Javier Fernández-Marqués, Nicholas Donald Lane:
High-throughput Simulation of Federated Learning via Resource-Aware Client Placement. CoRR abs/2306.17453 (2023) - [i19]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 abs/2307.07393 (2023) - 2022
- [j3]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: 119-136 (2022) - [j2]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): 1875-1893 (2022) - [c16]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: 506-522 - [c15]Wanru Zhao, Xinchi Qiu, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Nicholas D. Lane:
Protea: client profiling within federated systems using flower. FedEdge@MobiCom 2022: 1-6 - [c14]Yan Gao, Titouan Parcollet, Salah Zaiem, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Daniel J. Beutel, Nicholas D. Lane:
End-to-End Speech Recognition from Federated Acoustic Models. ICASSP 2022: 7227-7231 - [c13]Xinchi Qiu, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Yan Gao, Titouan Parcollet, Nicholas Donald Lane:
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity. ICLR 2022 - [c12]Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Pedro P. B. de Gusmao, Nicholas D. Lane:
Match to Win: Analysing Sequences Lengths for Efficient Self-Supervised Learning in Speech and Audio. SLT 2022: 115-122 - [i18]Kwing Hei Li, Pedro Porto Buarque de Gusmão, Daniel J. Beutel, Nicholas D. Lane:
Secure Aggregation for Federated Learning in Flower. CoRR abs/2205.06117 (2022) - [i17]Wanru Zhao, Xinchi Qiu, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Nicholas D. Lane:
Protea: Client Profiling within Federated Systems using Flower. CoRR abs/2207.01053 (2022) - [i16]Yasar Abbas Ur Rehman, Yan Gao, Jiajun Shen, Pedro Porto Buarque de Gusmão, Nicholas D. Lane:
Federated Self-supervised Learning for Video Understanding. CoRR abs/2207.01975 (2022) - [i15]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 abs/2208.02507 (2022) - [i14]Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Pedro P. B. de Gusmao, Nicholas D. Lane:
Match to Win: Analysing Sequences Lengths for Efficient Self-supervised Learning in Speech and Audio. CoRR abs/2209.15575 (2022) - 2021
- [c11]Kwing Hei Li, Pedro Porto Buarque de Gusmão, Daniel J. Beutel, Nicholas D. Lane:
Secure aggregation for federated learning in flower. DistributedML@CoNEXT 2021: 8-14 - [c10]Wei Wang, Pedro Porto Buarque de Gusmão, Bo Yang, Andrew Markham, Niki Trigoni:
RadarLoc: Learning to Relocalize in FMCW Radar. ICRA 2021: 5809-5815 - [i13]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 abs/2102.07627 (2021) - [i12]Wei Wang, Pedro P. B. de Gusmao, Bo Yang, Andrew Markham, Niki Trigoni:
RadarLoc: Learning to Relocalize in FMCW Radar. CoRR abs/2103.11562 (2021) - [i11]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 abs/2104.03042 (2021) - [i10]Muhamad Risqi Utama Saputra, Chris Xiaoxuan Lu, Pedro P. B. de Gusmao, Bing Wang, Andrew Markham, Niki Trigoni:
Graph-based Thermal-Inertial SLAM with Probabilistic Neural Networks. CoRR abs/2104.07196 (2021) - [i9]Yan Gao, Titouan Parcollet, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Daniel J. Beutel, Nicholas D. Lane:
End-to-End Speech Recognition from Federated Acoustic Models. CoRR abs/2104.14297 (2021) - 2020
- [j1]Muhamad Risqi Utama Saputra, Niki Trigoni, Pedro P. B. de Gusmao, Chris Xiaoxuan Lu, Yasin Almalioglu, Stefano Rosa, Changhao Chen, Johan Wahlström, Wei Wang, Andrew Markham:
DeepTIO: A Deep Thermal-Inertial Odometry With Visual Hallucination. IEEE Robotics Autom. Lett. 5(2): 1672-1679 (2020) - [c9]Chris Xiaoxuan Lu, Muhamad Risqi Utama Saputra, Peijun Zhao, Yasin Almalioglu, Pedro P. B. de Gusmao, Changhao Chen, Ke Sun, Niki Trigoni, Andrew Markham:
milliEgo: single-chip mmWave radar aided egomotion estimation via deep sensor fusion. SenSys 2020: 109-122 - [i8]Chris Xiaoxuan Lu, Muhamad Risqi Utama Saputra, Peijun Zhao, Yasin Almalioglu, Pedro P. B. de Gusmao, Changhao Chen, Ke Sun, Niki Trigoni, Andrew Markham:
milliEgo: mmWave Aided Egomotion Estimation with Deep Sensor Fusion. CoRR abs/2006.02266 (2020)
2010 – 2019
- 2019
- [c8]Johan Wahlström, Pedro Porto Buarque de Gusmão, Andrew Markham, Niki Trigoni:
Map-aided Navigation for Emergency Searches. DCOSS 2019: 25-32 - [c7]Muhamad Risqi Utama Saputra, Pedro Porto Buarque de Gusmão, Yasin Almalioglu, Andrew Markham, Niki Trigoni:
Distilling Knowledge From a Deep Pose Regressor Network. ICCV 2019: 263-272 - [c6]Muhamad Risqi Utama Saputra, Pedro P. B. de Gusmao, Sen Wang, Andrew Markham, Niki Trigoni:
Learning Monocular Visual Odometry through Geometry-Aware Curriculum Learning. ICRA 2019: 3549-3555 - [c5]Yasin Almalioglu, Muhamad Risqi Utama 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: 5474-5480 - [c4]Wei Wang, Muhamad Risqi Utama Saputra, Peijun Zhao, Pedro P. B. de Gusmao, Bo Yang, Changhao Chen, Andrew Markham, Niki Trigoni:
DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network. IROS 2019: 3248-3254 - [i7]Muhamad Risqi Utama Saputra, Pedro P. B. de Gusmao, Sen Wang, Andrew Markham, Niki Trigoni:
Learning Monocular Visual Odometry through Geometry-Aware Curriculum Learning. CoRR abs/1903.10543 (2019) - [i6]Muhamad Risqi Utama Saputra, Pedro P. B. de Gusmao, Yasin Almalioglu, Andrew Markham, Niki Trigoni:
Distilling Knowledge From a Deep Pose Regressor Network. CoRR abs/1908.00858 (2019) - [i5]Muhamad Risqi Utama Saputra, Pedro P. B. de Gusmao, Chris Xiaoxuan Lu, Yasin Almalioglu, Stefano Rosa, Changhao Chen, Johan Wahlström, Wei Wang, Andrew Markham, Niki Trigoni:
DeepTIO: A Deep Thermal-Inertial Odometry with Visual Hallucination. CoRR abs/1909.07231 (2019) - [i4]Wei Wang, Muhamad Risqi Utama Saputra, Peijun Zhao, Pedro P. B. de Gusmao, Bo Yang, Changhao Chen, Andrew Markham, Niki Trigoni:
DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network. CoRR abs/1910.11088 (2019) - [i3]Yasin Almalioglu, Mehmet Turan, Alp Eren Sari, Muhamad Risqi Utama Saputra, Pedro Porto Buarque de Gusmão, Andrew Markham, Niki Trigoni:
SelfVIO: Self-Supervised Deep Monocular Visual-Inertial Odometry and Depth Estimation. CoRR abs/1911.09968 (2019) - 2018
- [i2]Yasin Almalioglu, Muhamad Risqi Utama Saputra, Pedro P. B. de Gusmao, Andrew Markham, Niki Trigoni:
GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks. CoRR abs/1809.05786 (2018) - 2017
- [b1]Pedro Porto Buarque de Gusmão:
Feature extraction using MPEG-CDVS and Deep Learning with application to robotic navigation and image classification. Polytechnic University of Turin, Italy, 2017 - 2016
- [c3]Syed Tahir Hussain Rizvi, Gianpiero Cabodi, Pedro P. B. de Gusmao, Gianluca Francini:
Gabor filter based image representation for object classification. CoDIT 2016: 628-632 - [i1]Pedro Porto Buarque de Gusmão, Gianluca Francini, Skjalg Lepsøy, Enrico Magli:
Fast Training of Convolutional Neural Networks via Kernel Rescaling. CoRR abs/1610.03623 (2016) - 2015
- [c2]Pedro P. B. de Gusmao, Stefano Rosa, Enrico Magli, Skjalg Lepsøy, Gianluca Francini:
Loop detection in robotic navigation using MPEG CDVS. MMSP 2015: 1-6 - 2011
- [c1]Skjalg Lepsøy, Gianluca Francini, Giovanni Cordara, Pedro P. B. de Gusmao:
Statistical modelling of outliers for fast visual search. ICME 2011: 1-6
Coauthor Index
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