Deep Federated Learning for Autonomous Driving

12 October 2021

Papers citing "Deep Federated Learning for Autonomous Driving"

49 / 49 papers shown

Title
Federated Causal Inference in Healthcare: Methods, Challenges, and Applications Haoyang Li Jie Xu Kyra Gan Fei Wang Chengxi Zang FedML CML 19 0 0 04 May 2025
Bayesian Federated Learning for Continual Training Usevalad Milasheuski Luca Barbieri Sanaz Kianoush M. Nicoli S. Savazzi FedML 26 0 0 21 Apr 2025
Personalized Federated Learning for Cross-view Geo-localization Christos Anagnostopoulos Alexandros Gkillas Nikos Piperigkos Aris Lalos FedML 18 0 0 07 Nov 2024
Fed-EC: Bandwidth-Efficient Clustering-Based Federated Learning For Autonomous Visual Robot Navigation Shreya Gummadi M. V. Gasparino Deepak Vasisht Girish Chowdhary FedML 19 1 0 06 Nov 2024
Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime Lasse Vuursteen 18 0 0 02 Nov 2024
Decentralized Federated Learning with Gradient Tracking over Time-Varying Directed Networks Duong Thuy Anh Nguyen Su Wang Duong Tung Nguyen Angelia Nedich H. Vincent Poor 20 0 0 25 Sep 2024
FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning Xiuhua Lu Peng Li Xuefeng Jiang FedML 18 0 0 18 Sep 2024
Federated Cubic Regularized Newton Learning with Sparsification-amplified Differential Privacy Wei Huo Changxin Liu Kemi Ding Karl H. Johansson Ling Shi FedML 22 0 0 08 Aug 2024
Impact of Network Topology on Byzantine Resilience in Decentralized Federated Learning Siddhartha Bhattacharya Daniel Helo Joshua Siegel 52 0 0 06 Jul 2024
Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints T. T. Cai Abhinav Chakraborty Lasse Vuursteen FedML 28 3 0 10 Jun 2024
Federated Nonparametric Hypothesis Testing with Differential Privacy Constraints: Optimal Rates and Adaptive Tests T. T. Cai Abhinav Chakraborty Lasse Vuursteen FedML 27 1 0 10 Jun 2024
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective Khiem H. Le Nhan Luong-Ha Manh Nguyen-Duc Danh Le-Phuoc Cuong D. Do Kok-Seng Wong FedML 19 0 0 30 May 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 40 10 0 07 May 2024
Poisoning Attacks on Federated Learning for Autonomous Driving Sonakshi Garg Hugo Jönsson Gustav Kalander Axel Nilsson Bhhaanu Pirange Viktor Valadi Johan Östman AAML 17 0 0 02 May 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 16 6 0 01 Apr 2024
On the Conflict of Robustness and Learning in Collaborative Machine Learning Mathilde Raynal Carmela Troncoso 27 2 0 21 Feb 2024
Bayesian Deep Learning Via Expectation Maximization and Turbo Deep Approximate Message Passing Wei Xu An Liu Yiting Zhang Vincent Lau BDL 10 0 0 12 Feb 2024
EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control Xiaocheng Li Si-ren Liu Zimu Zhou Bin Guo Yuan Xu Zhiwen Yu 8 0 0 29 Jan 2024
A review on different techniques used to combat the non-IID and heterogeneous nature of data in FL Iyer Venkataraman Natarajan 10 8 0 01 Jan 2024
Communication-Efficient Soft Actor-Critic Policy Collaboration via Regulated Segment Mixture in Internet of Vehicles Xiaoxue Yu Rongpeng Li Chengchao Liang Zhifeng Zhao 22 0 0 15 Dec 2023
Federated Active Learning for Target Domain Generalisation Razvan Caramalau Binod Bhattarai Danail Stoyanov OOD FedML 19 1 0 04 Dec 2023
Federated Online and Bandit Convex Optimization Kumar Kshitij Patel Lingxiao Wang Aadirupa Saha Nathan Srebro FedML 26 8 0 29 Nov 2023
On the Effect of Defections in Federated Learning and How to Prevent Them Minbiao Han Kumar Kshitij Patel Han Shao Lingxiao Wang FedML 20 4 0 28 Nov 2023
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective Xianghua Xie Chen Hu Hanchi Ren Jingjing Deng FedML AAML 17 19 0 27 Nov 2023
FTA: Stealthy and Adaptive Backdoor Attack with Flexible Triggers on Federated Learning Yanqi Qiao Dazhuang Liu Congwen Chen Rui Wang Kaitai Liang FedML AAML 16 0 0 31 Aug 2023
Federated Learning for Computer Vision Yassine Himeur Iraklis Varlamis Hamza Kheddar Abbes Amira Shadi Atalla Yashbir Singh F. Bensaali W. Mansoor FedML 10 20 0 24 Aug 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 25 73 0 21 Aug 2023
An In-Depth Evaluation of Federated Learning on Biomedical Natural Language Processing Le Peng Gaoxiang Luo Sicheng Zhou Jiandong Chen Rui Zhang Zi-Cheng Xu Ju Sun 15 2 0 20 Jul 2023
Communication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous Driving Weihua Kou Shuai Wang Guangxu Zhu Bin Luo Yingxian Chen Derrick Wing Kwan Ng Yik-Chung Wu 9 12 0 28 Jun 2023
HabiCrowd: A High Performance Simulator for Crowd-Aware Visual Navigation Vuong Dinh An Toan Tien Nguyen Minh Nhat Vu Baoru Huang Dzung Nguyen H. Binh T. Vo Anh Nguyen 26 5 0 20 Jun 2023
FedWon: Triumphing Multi-domain Federated Learning Without Normalization Weiming Zhuang Lingjuan Lyu 11 8 0 09 Jun 2023
Avoid Adversarial Adaption in Federated Learning by Multi-Metric Investigations T. Krauß Alexandra Dmitrienko AAML 8 4 0 06 Jun 2023
Decentralized Federated Learning: A Survey and Perspective Liangqi Yuan Ziran Wang Lichao Sun Philip S. Yu Christopher G. Brinton FedML 30 74 0 02 Jun 2023
FedZero: Leveraging Renewable Excess Energy in Federated Learning Philipp Wiesner R. Khalili Dennis Grinwald Pratik Agrawal L. Thamsen O. Kao 8 14 0 24 May 2023
Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model Min Yang Shangchao Su Bin Li Xiangyang Xue DiffM 8 29 0 06 May 2023
Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognition Liangqi Yuan Yunsheng Ma Lu Su Ziran Wang FedML 8 24 0 14 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 10 24 0 04 Apr 2023
Reducing Non-IID Effects in Federated Autonomous Driving with Contrastive Divergence Loss Tuong Khanh Long Do Binh X. Nguyen Hien Nguyen Erman Tjiputra Quang-Dieu Tran Te-Chuan Chiu A. Nguyen 22 0 0 11 Mar 2023
Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey Jiajun Wu Steve Drew Fan Dong Zhuangdi Zhu Jiayu Zhou FedML 34 44 0 06 Feb 2023
Federated clustering with GAN-based data synthesis Jie Yan Jing Liu Jianpeng Qi Zhonghan Zhang FedML 16 7 0 29 Oct 2022
Detection and Prevention Against Poisoning Attacks in Federated Learning Viktor Valadi Madeleine Englund Mark Spanier Austin F. O'Brien FedML AAML 8 0 0 24 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey Huiyun Cao Wenlong Zou Yinkun Wang Ting Song Mengjun Liu AAML 35 4 0 19 Oct 2022
Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology Tuong Khanh Long Do Binh X. Nguyen Vuong Pham Toan V. Tran Erman Tjiputra Quang-Dieu Tran A. Nguyen FedML AI4CE 12 3 0 20 Jul 2022
Smart Multi-tenant Federated Learning Weiming Zhuang Yonggang Wen Shuai Zhang FedML 12 2 0 09 Jul 2022
Fine-Grained Visual Classification using Self Assessment Classifier Tuong Khanh Long Do Huy Tran Erman Tjiputra Quang-Dieu Tran Anh Nguyen 17 12 0 21 May 2022
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving Lidia Fantauzzo Eros Fani Debora Caldarola A. Tavera Fabio Cermelli Marco Ciccone Barbara Caputo FedML 13 51 0 28 Feb 2022
Coarse-to-Fine Reasoning for Visual Question Answering Binh X. Nguyen Tuong Khanh Long Do Huy Tran Erman Tjiputra Quang-Dieu Tran A. Nguyen NAI 57 35 0 06 Oct 2021
Binary TTC: A Temporal Geofence for Autonomous Navigation Abhishek Badki Orazio Gallo Jan Kautz P. Sen 30 28 0 12 Jan 2021
Throughput-Optimal Topology Design for Cross-Silo Federated Learning Othmane Marfoq Chuan Xu Giovanni Neglia Richard Vidal FedML 43 85 0 23 Oct 2020