Federated Learning for Ultra-Reliable Low-Latency V2V Communications

11 May 2018

Merouane Debbah

Papers citing "Federated Learning for Ultra-Reliable Low-Latency V2V Communications"

50 / 66 papers shown

Title
CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling Kaiyuan Zhang Siyuan Cheng Guangyu Shen Bruno Ribeiro Shengwei An Pin-Yu Chen Xinming Zhang Ninghui Li 122 1 0 28 Jan 2025
Noise-Robust and Resource-Efficient ADMM-based Federated Learning Ehsan Lari Reza Arablouei Vinay Chakravarthi Gogineni Stefan Werner FedML 31 1 0 20 Sep 2024
Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchain Weiliang Chen Li Jia Yang Zhou Qianqian Ren 34 0 0 28 Jul 2024
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning Shihua Sun Shridatt Sugrim Angelos Stavrou Haining Wang AAML 63 1 0 13 Jul 2024
Personalized Federated Learning for Statistical Heterogeneity Muhammad Firdaus Kyung-Hyune Rhee FedML 19 1 0 07 Feb 2024
Semi-Supervised Learning Approach for Efficient Resource Allocation with Network Slicing in O-RAN Salar Nouri Naghadeh Mojdeh Karbalaee Motalleb V. Shah-Mansouri Seyed Pooya Shariatpanahi 27 1 0 16 Jan 2024
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 30 7 0 07 Dec 2023
Federated Reinforcement Learning for Resource Allocation in V2X Networks Kaidi Xu Shenglong Zhou Geoffrey Ye Li 6 3 0 15 Oct 2023
RaftFed: A Lightweight Federated Learning Framework for Vehicular Crowd Intelligence Changan Yang Yaxing Chen Yao Zhang Helei Cui Zhiwen Yu Bin Guo Zheng Yan Zijiang Yang FedML 20 0 0 11 Oct 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
Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT Jiaqi Wang Shenglai Zeng Zewei Long Yaqing Wang Houping Xiao Fenglong Ma 19 16 0 05 Mar 2023
Learning for Vehicle-to-Vehicle Cooperative Perception under Lossy Communication Jinlong Li Runsheng Xu Xinyi Liu Jin Ma Zicheng Chi Jiaqi Ma Hongkai Yu 36 96 0 16 Dec 2022
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning Kaiyuan Zhang Guanhong Tao Qiuling Xu Shuyang Cheng Shengwei An ... Shiwei Feng Guangyu Shen Pin-Yu Chen Shiqing Ma Xiangyu Zhang FedML 42 52 0 23 Oct 2022
Boost Decentralized Federated Learning in Vehicular Networks by Diversifying Data Sources Dongyuan Su Yipeng Zhou Laizhong Cui FedML 11 11 0 05 Sep 2022
Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review Abolfazl Razi Xiwen Chen Huayu Li Hao Wang Brendan J. Russo Yan Chen Hongbin Yu 33 39 0 07 Mar 2022
Communication and Energy Efficient Slimmable Federated Learning via Superposition Coding and Successive Decoding Hankyul Baek Won Joon Yun Soyi Jung Jihong Park Mingyue Ji Joongheon Kim M. Bennis 46 1 0 05 Dec 2021
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges Mohammad M. Al-Quraan Lina S. Mohjazi Lina Bariah A. Centeno A. Zoha Sami Muhaidat Mérouane Debbah Muhammad Ali Imran 22 62 0 14 Nov 2021
Multi-task Federated Edge Learning (MtFEEL) in Wireless Networks Sawan Singh Mahara M. Shruti B. Bharath Akash Murthy FedML 40 0 0 05 Aug 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 187 412 0 14 Jul 2021
FLRA: A Reference Architecture for Federated Learning Systems Sin Kit Lo Qinghua Lu Hye-Young Paik Liming Zhu FedML AI4CE 47 24 0 22 Jun 2021
Machine Learning for Security in Vehicular Networks: A Comprehensive Survey Anum Talpur M. Gurusamy 14 61 0 31 May 2021
Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates Laizhong Cui Xiaoxin Su Yipeng Zhou Yi Pan FedML 38 36 0 10 May 2021
See through Gradients: Image Batch Recovery via GradInversion Hongxu Yin Arun Mallya Arash Vahdat J. Álvarez Jan Kautz Pavlo Molchanov FedML 25 460 0 15 Apr 2021
Decentralized Federated Learning for UAV Networks: Architecture, Challenges, and Opportunities Yuben Qu Haipeng Dai Yan Zhuang Jiafa Chen Chao Dong Fan Wu Song Guo 16 71 0 15 Apr 2021
FedSAE: A Novel Self-Adaptive Federated Learning Framework in Heterogeneous Systems Li Li Moming Duan Duo Liu Yu Zhang Ao Ren Xianzhang Chen Yujuan Tan Chengliang Wang FedML 17 43 0 15 Apr 2021
Real-time End-to-End Federated Learning: An Automotive Case Study Hongyi Zhang J. Bosch Helena Holmström Olsson FedML 11 39 0 22 Mar 2021
SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT Systems Chenhao Xu Jiaqi Ge Yong Li Yao Deng Longxiang Gao Mengshi Zhang Yong Xiang Xi Zheng FedML 33 14 0 12 Mar 2021
Cybersecurity Threats in Connected and Automated Vehicles based Federated Learning Systems Ranwa Al Mallah Godwin Badu-Marfo Bilal Farooq 34 19 0 26 Feb 2021
Applications of Federated Learning in Smart Cities: Recent Advances, Taxonomy, and Open Challenges Zhaohua Zheng Yize Zhou Yilong Sun Zhang Wang Boyi Liu Keqiu Li 28 102 0 02 Feb 2021
Failure Prediction in Production Line Based on Federated Learning: An Empirical Study Ning Ge Guanghao Li Li Zhang Yi Liu FedML 21 45 0 25 Jan 2021
FLAME: Taming Backdoors in Federated Learning (Extended Version 1) T. D. Nguyen Phillip Rieger Huili Chen Hossein Yalame Helen Mollering ... Azalia Mirhoseini S. Zeitouni F. Koushanfar A. Sadeghi T. Schneider AAML 27 26 0 06 Jan 2021
Dynamic Federated Learning-Based Economic Framework for Internet-of-Vehicles Y. Saputra D. Hoang Diep N. Nguyen Le-Nam Tran Shiming Gong E. Dutkiewicz FedML 28 38 0 01 Jan 2021
Cost-Effective Federated Learning Design Bing Luo Xiang Li Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 22 177 0 15 Dec 2020
From Distributed Machine Learning To Federated Learning: In The View Of Data Privacy And Security Sheng Shen Tianqing Zhu Di Wu Wei Wang Wanlei Zhou FedML OOD 23 77 0 19 Oct 2020
Artificial Intelligence for UAV-enabled Wireless Networks: A Survey Mohamed-Amine Lahmeri Mustafa A. Kishk Mohamed-Slim Alouini 26 102 0 24 Sep 2020
A Tutorial on Ultra-Reliable and Low-Latency Communications in 6G: Integrating Domain Knowledge into Deep Learning Changyang She Chengjian Sun Zhouyou Gu Yonghui Li Chenyang Yang H. Vincent Poor Branka Vucetic 20 17 0 13 Sep 2020
Addressing Class Imbalance in Federated Learning Lixu Wang Shichao Xu Tianlin Li Qi Zhu FedML 10 18 0 14 Aug 2020
Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning Wenqi Shi Sheng Zhou Z. Niu Miao Jiang Lu Geng 28 292 0 14 Jul 2020
Challenges of AI in Wireless Networks for IoT Ijaz Ahmad Shahriar Shahabuddin T. Kumar E. Harjula M. Meisel M. Juntti T. Sauter M. Ylianttila 15 18 0 09 Jul 2020
On the Outsized Importance of Learning Rates in Local Update Methods Zachary B. Charles Jakub Konecný FedML 24 54 0 02 Jul 2020
Security Considerations for Internet of Things: A Survey A. Jurcut T. Niculcea Pasika Ranaweera Nhien-An Le-Khac 29 98 0 18 Jun 2020
XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning Myungjae Shin Chihoon Hwang Joongheon Kim Jihong Park M. Bennis Seong-Lyun Kim FedML 22 108 0 09 Jun 2020
Federated Learning for Hybrid Beamforming in mm-Wave Massive MIMO Ahmet M. Elbir Sinem Coleri FedML 16 3 0 20 May 2020
Cloud-based Federated Boosting for Mobile Crowdsensing Zhuzhu Wang Yilong Yang Yang Liu Ximeng Liu B. Gupta Jianfeng Ma FedML 8 13 0 09 May 2020
Deep Learning Assisted CSI Estimation for Joint URLLC and eMBB Resource Allocation Hamza Khan M. Butt S. Samarakoon P. Sehier M. Bennis 9 18 0 12 Mar 2020
Communication-Efficient Massive UAV Online Path Control: Federated Learning Meets Mean-Field Game Theory Hamid Shiri Jihong Park M. Bennis 4 77 0 09 Mar 2020
FedLoc: Federated Learning Framework for Data-Driven Cooperative Localization and Location Data Processing Feng Yin Zhidi Lin Yue Xu Qinglei Kong Deshi Li Sergios Theodoridis Shuguang Cui Cui FedML 14 4 0 08 Mar 2020
Three Approaches for Personalization with Applications to Federated Learning Yishay Mansour M. Mohri Jae Hun Ro A. Suresh FedML 45 565 0 25 Feb 2020
SecEL: Privacy-Preserving, Verifiable and Fault-Tolerant Edge Learning for Autonomous Vehicles Jiasi Weng J. Weng Yue Zhang Ming Li Zhaodi Wen 23 1 0 27 Jan 2020
Reinforcement Learning Based Vehicle-cell Association Algorithm for Highly Mobile Millimeter Wave Communication Hamza Khan Anis Elgabli S. Samarakoon M. Bennis Choong Seon Hong 9 32 0 22 Jan 2020