Pedro Porto Buarque de Gusmão

34 papers A* 5B 1Journal 20Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Omni-C: Compressing Heterogeneous Modalities into a Single Dense Encoder. CoRR Kin Wai Lau, Yasar Abbas Ur Rehman, Lai-Man Po, Pedro Porto Buarque de Gusmão
2025	J	`jnl`	CATCHFed: Efficient Unlabeled Data Utilization for Semi-Supervised Federated Learning in Limited Labels Environments. CoRR Byoungjun Park, Pedro Porto Buarque de Gusmão, Dongjin Ji, Minhoe Kim
2025	—	`conf`	Efficient Federated Model Aggregation through Neural Velocity. FedEdge-AI@MobiCom Gianluca Dalmasso, Pedro Porto Buarque de Gusmão, Attilio Fiandrotti, Marco Grangetto
2025	—	`conf`	Improving Semi-Supervised Federated Learning with Limited Labeled Data via Adaptive Batchsize and Pseudo Labeling. CCNC Byoungjun Park, Pedro Porto Buarque de Gusmão, Minhoe Kim
2024	—	`conf`	FedRepOpt: Gradient Re-parametrized Optimizers in Federated Learning. ACCV (8) Kin Wai Lau, Yasar Abbas Ur Rehman, Pedro Porto Buarque de Gusmão, Lai-Man Po, Lan Ma, Yuyang Xie
2024	J	`jnl`	FedRepOpt: Gradient Re-parametrized Optimizers in Federated Learning. CoRR Kin Wai Lau, Yasar Abbas Ur Rehman, Pedro Porto Buarque de Gusmão, Lai-Man Po, Lan Ma, Yuyang Xie
2024	J	`jnl`	Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation. CoRR Fermin Orozco, Pedro Porto Buarque de Gusmão, Hongkai Wen, Johan Wahlström, Man Luo
2023	—	`conf`	Can Fair Federated Learning Reduce the need for Personalisation? EuroMLSys@EuroSys Alex Iacob, Pedro Porto Buarque de Gusmão, Nicholas D. Lane
2023	J	`jnl`	Can Fair Federated Learning reduce the need for Personalisation? CoRR Alex Iacob, Pedro Porto Buarque de Gusmão, Nicholas D. Lane
2023	—	`conf`	Decentralized Training of 3D Lane Detection with Automatic Labeling Using HD Maps. VTC2023-Spring Yadong Mao, Zhuqi Xiao, Che-Tsung Lin, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Christopher Zach, Mina Alibeigi
2023	J	`jnl`	Efficient Vertical Federated Learning with Secure Aggregation. CoRR Xinchi Qiu, Heng Pan, Wanru Zhao, Chenyang Ma, Pedro Porto Buarque de Gusmão, Nicholas D. Lane
2023	A*	`conf`	FedVal: Different good or different bad in federated learning. USENIX Security Symposium Viktor Valadi, Xinchi Qiu, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Mina Alibeigi
2023	J	`jnl`	FedVal: Different good or different bad in federated learning. CoRR Viktor Valadi, Xinchi Qiu, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Mina Alibeigi
2023	J	`jnl`	High-throughput Simulation of Federated Learning via Resource-Aware Client Placement. CoRR Lorenzo Sani, Pedro Porto Buarque de Gusmão, Alex Iacob, Wanru Zhao, Xinchi Qiu, Yan Gao, Javier Fernández-Marqués, Nicholas Donald Lane
2023	A*	`conf`	L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning. ICCV Yasar Abbas Ur Rehman, Yan Gao, Pedro Porto Buarque de Gusmão, Mina Alibeigi, Jiajun Shen, Nicholas D. Lane
2023	J	`jnl`	L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning. CoRR Yasar Abbas Ur Rehman, Yan Gao, Pedro Porto Buarque de Gusmão, Mina Alibeigi, Jiajun Shen, Nicholas D. Lane
2023	J	`jnl`	Privacy in Multimodal Federated Human Activity Recognition. CoRR Alex Iacob, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Armand K. Koupai, Mohammud Junaid Bocus, Raúl Santos-Rodríguez, Robert J. Piechocki, Ryan McConville
2022	—	`conf`	Federated Self-supervised Learning for Video Understanding. ECCV (31) Yasar Abbas Ur Rehman, Yan Gao, Jiajun Shen, Pedro Porto Buarque de Gusmão, Nicholas D. Lane
2022	J	`jnl`	Federated Self-supervised Learning for Video Understanding. CoRR Yasar Abbas Ur Rehman, Yan Gao, Jiajun Shen, Pedro Porto Buarque de Gusmão, Nicholas D. Lane
2022	J	`jnl`	Graph-Based Thermal-Inertial SLAM With Probabilistic Neural Networks. IEEE Trans. Robotics Muhamad Risqi Utama Saputra, Chris Xiaoxuan Lu, Pedro Porto Buarque de Gusmão, Bing Wang, Andrew Markham, Niki Trigoni
2022	J	`jnl`	Protea: Client Profiling within Federated Systems using Flower. CoRR Wanru Zhao, Xinchi Qiu, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Nicholas D. Lane
2022	J	`jnl`	Secure Aggregation for Federated Learning in Flower. CoRR Kwing Hei Li, Pedro Porto Buarque de Gusmão, Daniel J. Beutel, Nicholas D. Lane
2022	J	`jnl`	SelfVIO: Self-supervised deep monocular Visual-Inertial Odometry and depth estimation. Neural Networks Yasin Almalioglu, Mehmet Turan, Muhamad Risqi Utama Saputra, Pedro Porto Buarque de Gusmão, Andrew Markham, Niki Trigoni
2022	J	`jnl`	ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity. CoRR Xinchi Qiu, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Yan Gao, Titouan Parcollet, Nicholas Donald Lane
2021	J	`jnl`	A first look into the carbon footprint of federated learning. CoRR Xinchi Qiu, Titouan Parcollet, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane
2021	J	`jnl`	On-device Federated Learning with Flower. CoRR Akhil Mathur, Daniel J. Beutel, Pedro Porto Buarque de Gusmão, Javier Fernández-Marqués, Taner Topal, Xinchi Qiu, Titouan Parcollet, Yan Gao, Nicholas D. Lane
2021	A*	`conf`	RadarLoc: Learning to Relocalize in FMCW Radar. ICRA Wei Wang, Pedro Porto Buarque de Gusmão, Bo Yang, Andrew Markham, Niki Trigoni
2021	—	`conf`	Secure aggregation for federated learning in flower. DistributedML@CoNEXT Kwing Hei Li, Pedro Porto Buarque de Gusmão, Daniel J. Beutel, Nicholas D. Lane
2019	A*	`conf`	Distilling Knowledge From a Deep Pose Regressor Network. ICCV Muhamad Risqi Utama Saputra, Pedro Porto Buarque de Gusmão, Yasin Almalioglu, Andrew Markham, Niki Trigoni
2019	A*	`conf`	GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks. ICRA Yasin Almalioglu, Muhamad Risqi Utama Saputra, Pedro Porto Buarque de Gusmão, Andrew Markham, Niki Trigoni
2019	B	`conf`	Map-aided Navigation for Emergency Searches. DCOSS Johan Wahlström, Pedro Porto Buarque de Gusmão, Andrew Markham, Niki Trigoni
2019	J	`jnl`	SelfVIO: Self-Supervised Deep Monocular Visual-Inertial Odometry and Depth Estimation. CoRR Yasin Almalioglu, Mehmet Turan, Alp Eren Sari, Muhamad Risqi Utama Saputra, Pedro Porto Buarque de Gusmão, Andrew Markham, Niki Trigoni
2017	—	`—`	Feature extraction using MPEG-CDVS and Deep Learning with application to robotic navigation and image classification. Pedro Porto Buarque de Gusmão
2016	J	`jnl`	Fast Training of Convolutional Neural Networks via Kernel Rescaling. CoRR Pedro Porto Buarque de Gusmão, Gianluca Francini, Skjalg Lepsøy, Enrico Magli