FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving

28 February 2022

Papers citing "FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving"

33 / 33 papers shown

Title
FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization Xiaoyang Yu Xiaoming Wu Xin Wang Dongrun Li Ming Yang Peng Cheng 26 0 0 14 May 2025
MAGIC++: Efficient and Resilient Modality-Agnostic Semantic Segmentation via Hierarchical Modality Selection Xu Zheng Yuanhuiyi Lyu Lutao Jiang Jiazhou Zhou Lin Wang Xuming Hu 74 4 0 22 Dec 2024
Personalized Federated Learning for Cross-view Geo-localization Christos Anagnostopoulos Alexandros Gkillas Nikos Piperigkos Aris Lalos FedML 29 0 0 07 Nov 2024
Federated Black-Box Adaptation for Semantic Segmentation Jay N. Paranjape S. Sikder S. Vedula Vishal M. Patel FedML 32 0 0 31 Oct 2024
Deep Domain Isolation and Sample Clustered Federated Learning for Semantic Segmentation Matthis Manthe Carole Lartizien Stefan Duffner OOD FedML 23 0 0 04 Oct 2024
Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving Wei-Bin Kou Qingfeng Lin Ming Tang Rongguang Ye Shuai Wang Guangxu Zhu Yik-Chung Wu 32 4 0 29 Sep 2024
Centering the Value of Every Modality: Towards Efficient and Resilient Modality-agnostic Semantic Segmentation Xueye Zheng Yuanhuiyi Lyu Jiazhou Zhou Lin Wang 27 7 0 16 Jul 2024
FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in Street Scene Semantic Understanding Wei-Bin Kou Qingfeng Lin Ming Tang Shuai Wang Guangxu Zhu Yik-Chung Wu 44 3 0 01 Jul 2024
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles Cyprien Quéméneur S. Cherkaoui 43 3 0 05 Jun 2024
Accelerating Heterogeneous Federated Learning with Closed-form Classifiers Eros Fani Raffaello Camoriano Barbara Caputo Marco Ciccone 44 4 0 03 Jun 2024
pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving Wei-Bin Kou Qingfeng Lin Ming Tang Sheng Xu Rongguang Ye ... Shuai Wang Guofa Li Zhenyu Chen Guangxu Zhu Yik-Chung Wu FedML 52 11 0 07 May 2024
Collaborative Visual Place Recognition through Federated Learning Mattia Dutto Gabriele Berton Debora Caldarola Eros Fani Gabriele Trivigno Carlo Masone FedML 32 1 0 20 Apr 2024
Bridging Data Islands: Geographic Heterogeneity-Aware Federated Learning for Collaborative Remote Sensing Semantic Segmentation Jieyi Tan Yansheng Li S. Bartalev Bo Dang Wei Chen Yongjun Zhang Liangqi Yuan 31 3 0 14 Apr 2024
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline Anas Al-Lahham Muhammad Zaigham Zaheer Nurbek Tastan Karthik Nandakumar 30 6 0 01 Apr 2024
When Cars meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse Weather Giulia Rizzoli Matteo Caligiuri Donald Shenaj F. Barbato Pietro Zanuttigh 38 1 0 20 Mar 2024
On the Conflict of Robustness and Learning in Collaborative Machine Learning Mathilde Raynal Carmela Troncoso 27 2 0 21 Feb 2024
FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units Shaoheng Fang Rui Ye Wenhao Wang Zuhong Liu Yuxiao Wang Yafei Wang Siheng Chen Yanfeng Wang 41 1 0 23 Jan 2024
Towards Knowledge-driven Autonomous Driving Xin Li Yeqi Bai Pinlong Cai Licheng Wen Daocheng Fu ... Yikang Li Botian Shi Yong-Jin Liu Liang He Yu Qiao 32 26 0 07 Dec 2023
UFDA: Universal Federated Domain Adaptation with Practical Assumptions Xinhui Liu Zhenghao Chen Luping Zhou Dong Xu Wei Xi Gairui Bai Yihan Zhao Jizhong Zhao 24 2 0 27 Nov 2023
Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning Debora Caldarola Barbara Caputo Marco Ciccone FedML 13 7 0 02 Oct 2023
FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous Driving Eros Fani Marco Ciccone Barbara Caputo FedML 16 4 0 23 Sep 2023
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges Vishnu Pandi Chellapandi Liangqi Yuan Christopher G. Brinton Stanislaw H. .Zak Ziran Wang FedML 38 75 0 21 Aug 2023
Learning to Augment: Hallucinating Data for Domain Generalized Segmentation Qiyu Sun Pavlo Melnyk M. Felsberg Yang Tang 28 0 0 04 Jul 2023
Federated Domain Generalization: A Survey Ying Li Xingwei Wang Rongfei Zeng Praveen Kumar Donta Ilir Murturi Min Huang Schahram Dustdar OOD FedML AI4CE 42 29 0 02 Jun 2023
Physics-Informed Computer Vision: A Review and Perspectives C. Banerjee Kien Nguyen Clinton Fookes G. Karniadakis PINN AI4CE 34 28 0 29 May 2023
Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model Min Yang Shangchao Su Bin Li Xiangyang Xue DiffM 19 29 0 06 May 2023
Federated Incremental Semantic Segmentation Jiahua Dong Duzhen Zhang Yang Cong Wei Cong Henghui Ding Dengxin Dai FedML 31 39 0 10 Apr 2023
FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems Rui Song Runsheng Xu Andreas Festag Jiaqi Ma Alois C. Knoll FedML 28 25 0 04 Apr 2023
A Survey of Federated Learning for Connected and Automated Vehicles Vishnu Pandi Chellapandi Liangqi Yuan Stanislaw H. .Zak Ziran Wang FedML 17 32 0 19 Mar 2023
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning Donald Shenaj Eros Fani Marco Toldo Debora Caldarola A. Tavera Umberto Michieli Marco Ciccone Pietro Zanuttigh Barbara Caputo FedML 26 39 0 05 Oct 2022
Improving Generalization in Federated Learning by Seeking Flat Minima Debora Caldarola Barbara Caputo Marco Ciccone FedML 27 110 0 22 Mar 2022
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 787 0 15 Feb 2021
TaskNorm: Rethinking Batch Normalization for Meta-Learning J. Bronskill Jonathan Gordon James Requeima Sebastian Nowozin Richard E. Turner 71 89 0 06 Mar 2020