Pedro Porto Buarque de Gusmão

Lai-Man Po

Lan Ma

Yuyang Xie

CoRR, 2024

FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients.

[BibT_eX]

[DOI]

Alex Iacob

CoRR, 2024

2023

A First Look into the Carbon Footprint of Federated Learning.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2023

High-throughput Simulation of Federated Learning via Resource-Aware Client Placement.

[BibT_eX]

[DOI]

Lorenzo Sani

Nicholas Donald Lane

CoRR, 2023

vFedSec: Efficient Secure Aggregation for Vertical Federated Learning via Secure Layer.

[BibT_eX]

[DOI]

CoRR, 2023

Privacy in Multimodal Federated Human Activity Recognition.

[BibT_eX]

[DOI]

Alex Iacob

Armand K. Koupai

Mohammud Junaid Bocus

Raúl Santos-Rodríguez

Robert J. Piechocki

Ryan McConville

CoRR, 2023

Efficient Vertical Federated Learning with Secure Aggregation.

[BibT_eX]

[DOI]

CoRR, 2023

Decentralized Training of 3D Lane Detection with Automatic Labeling Using HD Maps.

[BibT_eX]

[DOI]

Yadong Mao

Zhuqi Xiao

Che-Tsung Lin

Christopher Zach

Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

FedVal: Different good or different bad in federated learning.

[BibT_eX]

[DOI]

Viktor Valadi

Proceedings of the 32nd USENIX Security Symposium, 2023

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

[BibT_eX]

[DOI]

Yasar Abbas Ur Rehman

Jiajun Shen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Can Fair Federated Learning Reduce the need for Personalisation?

[BibT_eX]

[DOI]

Alex Iacob

Proceedings of the 3rd Workshop on Machine Learning and Systems, 2023

2022

Graph-Based Thermal-Inertial SLAM With Probabilistic Neural Networks.

[BibT_eX]

[DOI]

Chris Xiaoxuan Lu

Bing Wang

IEEE Trans. Robotics, 2022

SelfVIO: Self-supervised deep monocular Visual-Inertial Odometry and depth estimation.

[BibT_eX]

[DOI]

Mehmet Turan

Neural Networks, 2022

Match to Win: Analysing Sequences Lengths for Efficient Self-Supervised Learning in Speech and Audio.

[BibT_eX]

[DOI]

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

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

[BibT_eX]

[DOI]

Nicholas Donald Lane

Proceedings of the Tenth International Conference on Learning Representations, 2022

End-to-End Speech Recognition from Federated Acoustic Models.

[BibT_eX]

[DOI]

Salah Zaiem

Proceedings of the IEEE International Conference on Acoustics, 2022

Protea: client profiling within federated systems using flower.

[BibT_eX]

[DOI]

Wanru Zhao

Proceedings of the 1st ACM Workshop on Data Privacy and Federated Learning Technologies for Mobile Edge Network, 2022

Federated Self-supervised Learning for Video Understanding.

[BibT_eX]

[DOI]

Yasar Abbas Ur Rehman

Jiajun Shen

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

End-to-End Speech Recognition from Federated Acoustic Models.

[BibT_eX]

[DOI]

CoRR, 2021

On-device Federated Learning with Flower.

[BibT_eX]

[DOI]

Akhil Mathur

CoRR, 2021

A first look into the carbon footprint of federated learning.

[BibT_eX]

[DOI]

CoRR, 2021

RadarLoc: Learning to Relocalize in FMCW Radar.

[BibT_eX]

[DOI]

Wei Wang

Bo Yang

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Secure aggregation for federated learning in flower.

[BibT_eX]

[DOI]

Kwing Hei Li

Proceedings of the DistributedML '21: Proceedings of the 2nd ACM International Workshop on Distributed Machine Learning, 2021

2020

DeepTIO: A Deep Thermal-Inertial Odometry With Visual Hallucination.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2020

milliEgo: mmWave Aided Egomotion Estimation with Deep Sensor Fusion.

[BibT_eX]

[DOI]

Chris Xiaoxuan Lu

Peijun Zhao

CoRR, 2020

milliEgo: single-chip mmWave radar aided egomotion estimation via deep sensor fusion.

[BibT_eX]

[DOI]

Chris Xiaoxuan Lu

Peijun Zhao

Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

2019

SelfVIO: Self-Supervised Deep Monocular Visual-Inertial Odometry and Depth Estimation.

[BibT_eX]

[DOI]

Mehmet Turan

Alp Eren Sari

CoRR, 2019

DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network.

[BibT_eX]

[DOI]

Wei Wang

Peijun Zhao

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Learning Monocular Visual Odometry through Geometry-Aware Curriculum Learning.

[BibT_eX]

[DOI]

Sen Wang

Proceedings of the International Conference on Robotics and Automation, 2019

GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Distilling Knowledge From a Deep Pose Regressor Network.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Map-aided Navigation for Emergency Searches.

[BibT_eX]

[DOI]

Johan Wahlström

Proceedings of the 15th International Conference on Distributed Computing in Sensor Systems, 2019

2017

Feature extraction using MPEG-CDVS and Deep Learning with application to robotic navigation and image classification.

[BibT_eX]

[DOI]

PhD thesis, 2017

2016

Fast Training of Convolutional Neural Networks via Kernel Rescaling.

[BibT_eX]

[DOI]

Gianluca Francini

Skjalg Lepsøy

Enrico Magli

CoRR, 2016

Gabor filter based image representation for object classification.

[BibT_eX]

[DOI]

Syed Tahir Hussain Rizvi

Gianpiero Cabodi

Gianluca Francini

Proceedings of the International Conference on Control, 2016

2015

Loop detection in robotic navigation using MPEG CDVS.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Workshop on Multimedia Signal Processing, 2015

2011

Statistical modelling of outliers for fast visual search.

[BibT_eX]

[DOI]

Skjalg Lepsøy

Gianluca Francini

Giovanni Cordara