FedVision: An Online Visual Object Detection Platform Powered by Federated Learning

17 January 2020

Yang Liu

Papers citing "FedVision: An Online Visual Object Detection Platform Powered by Federated Learning"

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Title
Exploring Multimodal Foundation AI and Expert-in-the-Loop for Sustainable Management of Wild Salmon Fisheries in Indigenous Rivers Chi Xu Yili Jin Sami Ma Rongsheng Qian Hao Fang ... Xue Liu Edith Ngai William I. Atlas Katrina M. Connors Mark A. Spoljaric 31 0 0 10 May 2025
Federated Learning for Cyber Physical Systems: A Comprehensive Survey Minh K. Quan P. Pathirana M. Wijayasundara S. Setunge Dinh C. Nguyen Christopher G. Brinton David J. Love H. Vincent Poor AI4CE 51 0 0 08 May 2025
Federated Learning for Medical Image Classification: A Comprehensive Benchmark Zhekai Zhou Guibo Luo Mingzhi Chen Zhenyu Weng Yuesheng Zhu FedML 26 0 0 07 Apr 2025
Personalized Federated Learning via Learning Dynamic Graphs Ziran Zhou Guanyu Gao Xiaohu Wu Yan Lyu FedML 48 0 0 07 Mar 2025
SEAFL: Enhancing Efficiency in Semi-Asynchronous Federated Learning through Adaptive Aggregation and Selective Training Md Sirajul Islam Sanjeev Panta F. Xu Xu Yuan Li Chen N. Tzeng FedML 36 0 0 22 Feb 2025
PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Yu Feng Yangli-ao Geng Yifan Zhu Zongfu Han Xie Yu Kaiwen Xue Haoran Luo Mengyang Sun Guangwei Zhang Meina Song FedML MoE 60 0 0 01 Feb 2025
A Bayesian Framework for Clustered Federated Learning Peng Wu Tales Imbiriba Pau Closas FedML 51 0 0 20 Oct 2024
Privacy Attack in Federated Learning is Not Easy: An Experimental Study Hangyu Zhu Liyuan Huang Zhenping Xie FedML 26 0 0 28 Sep 2024
A Multi-Level Approach for Class Imbalance Problem in Federated Learning for Remote Industry 4.0 Applications R. Hussain Mohsen Amini Salehi FedML 23 0 0 24 Sep 2024
FeDETR: a Federated Approach for Stenosis Detection in Coronary Angiography Raffaele Mineo Amelia Sorrenti Federica Proietto Salanitri MedIm 20 0 0 21 Sep 2024
On the Convergence Rates of Federated Q-Learning across Heterogeneous Environments Muxing Wang Pengkun Yang Lili Su FedML 29 1 0 05 Sep 2024
Variation of Camera Parameters due to Common Physical Changes in Focal Length and Camera Pose Hsin-Yi Chen Chuan-Kai Fu Jen-Hui Chuang 22 0 0 02 Sep 2024
The Key of Parameter Skew in Federated Learning Sifan Wang Junfeng Liao Ye Yuan Riquan Zhang FedML 31 0 0 21 Aug 2024
Enhancing Object Detection with Hybrid dataset in Manufacturing Environments: Comparing Federated Learning to Conventional Techniques Vinit Hegiste Snehal Walunj Jibinraj Antony T. Legler Martin Ruskowski FedML 26 3 0 16 Aug 2024
Addressing Skewed Heterogeneity via Federated Prototype Rectification with Personalization Shunxin Guo Hongsong Wang Shuxia Lin Zhiqiang Kou Xin Geng FedML 33 1 0 15 Aug 2024
COALA: A Practical and Vision-Centric Federated Learning Platform Weiming Zhuang Jian Xu Chen Chen Jingtao Li Lingjuan Lyu VLM FedML 72 4 0 23 Jul 2024
FedClust: Tackling Data Heterogeneity in Federated Learning through Weight-Driven Client Clustering Md Sirajul Islam Simin Javaherian Fei Xu Xu Yuan Li Chen Nian-Feng Tzeng FedML 30 3 0 09 Jul 2024
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives Linlin Wang Tianqing Zhu Wanlei Zhou Philip S. Yu 32 1 0 16 Jun 2024
Variational Bayes for Federated Continual Learning Dezhong Yao Sanmu Li Yutong Dai Zhiqiang Xu Shengshan Hu Peilin Zhao Lichao Sun FedML 48 1 0 23 May 2024
EmInspector: Combating Backdoor Attacks in Federated Self-Supervised Learning Through Embedding Inspection Yuwen Qian Shuchi Wu Kang Wei Ming Ding Di Xiao Tao Xiang Chuan Ma Song Guo FedML AAML 38 0 0 21 May 2024
Intelligent Agents for Auction-based Federated Learning: A Survey Xiaoli Tang Han Yu Xiaoxiao Li Sarit Kraus FedML 23 7 0 20 Apr 2024
Open-Vocabulary Federated Learning with Multimodal Prototyping Huimin Zeng Zhenrui Yue Dong Wang FedML VLM 29 1 0 01 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 24 6 0 01 Apr 2024
A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures Hao Song Jiacheng Yao Zhengxi Li Shaocong Xu Shibo Jin Jiajun Zhou Chenbo Fu Qi Xuan Shanqing Yu FedML 44 0 0 24 Mar 2024
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends Abolfazl Younesi Mohsen Ansari Mohammadamin Fazli A. Ejlali Muhammad Shafique Joerg Henkel 3DV 44 44 0 23 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 36 1 0 23 Jan 2024
Deep Efficient Private Neighbor Generation for Subgraph Federated Learning Ke Zhang Lichao Sun Bolin Ding S. Yiu Carl Yang FedML 23 8 0 09 Jan 2024
Horizontal Federated Computer Vision Paul K. Mandal Cole Leo Connor Hurley FedML ObjD 39 0 0 31 Dec 2023
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-aware Model Update Ji Liu Juncheng Jia Tianshi Che Chao Huo Jiaxiang Ren Yang Zhou H. Dai Dejing Dou 24 31 0 10 Dec 2023
Towards Fast and Stable Federated Learning: Confronting Heterogeneity via Knowledge Anchor Jinqian Chen Jihua Zhu Qinghai Zheng 38 3 0 05 Dec 2023
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective Xianghua Xie Chen Hu Hanchi Ren Jingjing Deng FedML AAML 29 19 0 27 Nov 2023
pFedES: Model Heterogeneous Personalized Federated Learning with Feature Extractor Sharing Liping Yi Han Yu Gang Wang Xiaoguang Liu 35 7 0 12 Nov 2023
DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset Weijie Liu Xiaoxi Zhang Jingpu Duan Carlee Joe-Wong Zhi Zhou Xu Chen 18 7 0 20 Oct 2023
Multi-task View Synthesis with Neural Radiance Fields Shuhong Zheng Zhipeng Bao Martial Hebert Yu-Xiong Wang 21 4 0 29 Sep 2023
Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration Xinghao Wu Xuefeng Liu Jianwei Niu Guogang Zhu Shaojie Tang FedML 15 17 0 20 Sep 2023
Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat Erdong Hu Yu-Shuen Tang Anastasios Kyrillidis C. Jermaine FedML 28 10 0 06 Sep 2023
Federated Learning for Computer Vision Yassine Himeur Iraklis Varlamis Hamza Kheddar Abbes Amira Shadi Atalla Yashbir Singh F. Bensaali W. Mansoor FedML 18 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 31 75 0 21 Aug 2023
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning Jianqing Zhang Yang Hua Hao Wang Tao Song Zhengui Xue Ruhui Ma Jianyin Cao Haibing Guan 37 23 0 20 Aug 2023
SoK: Assessing the State of Applied Federated Machine Learning Tobias Müller Maximilian Stäbler Hugo Gascón Frank Köster Florian Matthes 21 0 0 03 Aug 2023
AQUILA: Communication Efficient Federated Learning with Adaptive Quantization in Device Selection Strategy Zihao Zhao Yuzhu Mao Zhenpeng Shi Yang Liu Tian-Shing Lan Wenbo Ding Xiaoping Zhang 13 9 0 01 Aug 2023
Hierarchical Federated Learning Incentivization for Gas Usage Estimation Has Sun Xiaoli Tang Che-Sheng Yang Zhenpeng Yu Xiuli Wang Qijie Ding Zengxiang Li Han Yu FedML 30 1 0 01 Jul 2023
FedBone: Towards Large-Scale Federated Multi-Task Learning Yiqiang Chen Teng Zhang Xinlong Jiang Qian Chen Chenlong Gao Wuliang Huang FedML AI4CE 24 11 0 30 Jun 2023
NIPD: A Federated Learning Person Detection Benchmark Based on Real-World Non-IID Data Kangning Yin Zhen Ding Zhi-hua Dong Dongsheng Chen Jie Fu Xinhui Ji Guangqiang Yin Zhiguo Wang 17 3 0 28 Jun 2023
Federated Learning on Non-iid Data via Local and Global Distillation Xiaolin Zheng Senci Ying Fei Zheng Jianwei Yin Longfei Zheng Chaochao Chen Fengqin Dong FedML 29 6 0 26 Jun 2023
Avoid Adversarial Adaption in Federated Learning by Multi-Metric Investigations T. Krauß Alexandra Dmitrienko AAML 16 4 0 06 Jun 2023
FedCIP: Federated Client Intellectual Property Protection with Traitor Tracking Junchuan Liang Rong Wang FedML 22 10 0 02 Jun 2023
Local SGD Accelerates Convergence by Exploiting Second Order Information of the Loss Function Linxuan Pan Shenghui Song FedML 19 2 0 24 May 2023
Evaluating Privacy Leakage in Split Learning Xinchi Qiu Ilias Leontiadis Luca Melis Alex Sablayrolles Pierre Stock 25 5 0 22 May 2023
Federated Learning over Harmonized Data Silos Dimitris Stripelis J. Ambite FedML 15 2 0 15 May 2023