Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

13 September 2019

Papers citing "Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification"

50 / 613 papers shown

Title
Federated Learning with Heterogeneous Data Handling for Robust Vehicular Object Detection Ahmad Khalil Tizian Dege Pegah Golchin Rostyslav Olshevskyi Antonio Fernández Anta Tobias Meuser FedML 29 1 0 02 May 2024
Employing Federated Learning for Training Autonomous HVAC Systems Fredrik Hagström Vikas K. Garg Fabricio Oliveira AI4CE 70 0 0 01 May 2024
On the Impact of Data Heterogeneity in Federated Learning Environments with Application to Healthcare Networks Usevalad Milasheuski Bernardo Camajori Tedeschini M. Nicoli S. Savazzi OOD 20 5 0 29 Apr 2024
An Aggregation-Free Federated Learning for Tackling Data Heterogeneity Yuan Wang Huazhu Fu Renuga Kanagavelu Qingsong Wei Yong Liu Rick Siow Mong Goh FedML 31 29 0 29 Apr 2024
Federated Learning with Only Positive Labels by Exploring Label Correlations Xuming An Dui Wang Li Shen Yong Luo Han Hu Bo Du Yonggang Wen Dacheng Tao FedML 36 0 0 24 Apr 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
CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balance Zeke Xia Ming Hu Dengke Yan Xiaofei Xie Tianlin Li Anran Li Junlong Zhou Mingsong Chen 34 2 0 19 Apr 2024
KoReA-SFL: Knowledge Replay-based Split Federated Learning Against Catastrophic Forgetting Zeke Xia Ming Hu Dengke Yan Ruixuan Liu Anran Li Xiaofei Xie Mingsong Chen CLL 37 1 0 19 Apr 2024
Towards Multi-modal Transformers in Federated Learning Guangyu Sun Matías Mendieta Aritra Dutta Xin Li Chong Chen 75 3 0 18 Apr 2024
HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis Zhuojia Wu Qi Zhang Duoqian Miao Kun Yi Wei Fan Liang Hu 33 1 0 18 Apr 2024
FedPFT: Federated Proxy Fine-Tuning of Foundation Models Zhaopeng Peng Xiaoliang Fan Yufan Chen Zheng Wang Shirui Pan Chenglu Wen Ruisheng Zhang Cheng-i Wang 72 8 0 17 Apr 2024
Lightweight Unsupervised Federated Learning with Pretrained Vision Language Model Hao Yan Yuhong Guo VLM FedML 35 2 0 17 Apr 2024
FedFa: A Fully Asynchronous Training Paradigm for Federated Learning Haotian Xu Zhaorui Zhang Sheng Di Benben Liu Khalid Ayedh Alharthi Jiannong Cao FedML 29 6 0 17 Apr 2024
Personalized Federated Learning via Stacking Emilio Cantu-Cervini FedML 23 0 0 16 Apr 2024
Empowering Federated Learning with Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics Ming Xiang Stratis Ioannidis Edmund Yeh Carlee Joe-Wong Lili Su FedML 34 2 0 15 Apr 2024
Beyond Noise: Privacy-Preserving Decentralized Learning with Virtual Nodes Sayan Biswas Mathieu Even Anne-Marie Kermarrec Laurent Massoulie Rafael Pires Rishi Sharma M. Vos 48 3 0 15 Apr 2024
Bayesian Federated Model Compression for Communication and Computation Efficiency Cheng-Gang Xia Danny H. K. Tsang Vincent K. N. Lau 28 0 0 11 Apr 2024
Approximate Gradient Coding for Privacy-Flexible Federated Learning with Non-IID Data Okko Makkonen Sampo Niemelä Camilla Hollanti Serge Kas Hanna 35 0 0 04 Apr 2024
Client-supervised Federated Learning: Towards One-model-for-all Personalization Peng Yan Guodong Long FedML 41 2 0 28 Mar 2024
Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data Xinting Liao Weiming Liu Chaochao Chen Pengyang Zhou Fengyuan Yu Huabin Zhu Binhui Yao Tao Wang Xiaolin Zheng Yanchao Tan FedML 51 7 0 25 Mar 2024
Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models John Fischer Marko Orescanin Justin Loomis Patrick McClure FedML 51 3 0 22 Mar 2024
FedFisher: Leveraging Fisher Information for One-Shot Federated Learning Divyansh Jhunjhunwala Shiqiang Wang Gauri Joshi FedML 35 6 0 19 Mar 2024
MPCPA: Multi-Center Privacy Computing with Predictions Aggregation based on Denoising Diffusion Probabilistic Model Guibo Luo Hanwen Zhang Xiuling Wang Mingzhi Chen Yuesheng Zhu DiffM 45 1 0 12 Mar 2024
Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning Shuo Tang Rui Ye Chenxin Xu Xiaowen Dong Siheng Chen Yanfeng Wang 46 0 0 11 Mar 2024
Fake or Compromised? Making Sense of Malicious Clients in Federated Learning Hamid Mozaffari Sunav Choudhary Amir Houmansadr 46 2 0 10 Mar 2024
FedUV: Uniformity and Variance for Heterogeneous Federated Learning Ha Min Son M. Kim Tai-Myung Chung Chao Huang Xin Liu FedML 43 3 0 27 Feb 2024
Training Neural Networks from Scratch with Parallel Low-Rank Adapters Minyoung Huh Brian Cheung Jeremy Bernstein Phillip Isola Pulkit Agrawal 45 10 0 26 Feb 2024
Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models Jinqian Chen Jihua Zhu Qinghai Zheng Zhongyu Li Zhiqiang Tian FedML 34 3 0 26 Feb 2024
Robust Training of Federated Models with Extremely Label Deficiency Yonggang Zhang Zhiqin Yang Xinmei Tian Nannan Wang Tongliang Liu Bo Han FedML 41 6 0 22 Feb 2024
Achieving Linear Speedup in Asynchronous Federated Learning with Heterogeneous Clients Xiaolu Wang Zijian Li Shi Jin Jun Zhang FedML 34 3 0 17 Feb 2024
Adaptive Federated Learning in Heterogeneous Wireless Networks with Independent Sampling Jiaxiang Geng Yanzhao Hou Xiaofeng Tao Juncheng Wang Bing Luo FedML 27 0 0 15 Feb 2024
Momentum Approximation in Asynchronous Private Federated Learning Tao Yu Congzheng Song Jianyu Wang Mona Chitnis FedML 37 1 0 14 Feb 2024
FedImpro: Measuring and Improving Client Update in Federated Learning Zhenheng Tang Yonggang Zhang S. Shi Xinmei Tian Tongliang Liu Bo Han Xiaowen Chu FedML 28 13 0 10 Feb 2024
OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning Rui Ye Wenhao Wang Jingyi Chai Dihan Li Zexi Li Yinda Xu Yaxin Du Yanfeng Wang Siheng Chen ALM FedML AIFin 11 79 0 10 Feb 2024
FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning Gongxi Zhu Donghao Li Hanlin Gu Yuxing Han Yuan Yao Lixin Fan 47 2 0 09 Feb 2024
Version age-based client scheduling policy for federated learning Xinyi Hu Nikolaos Pappas Howard H. Yang 36 3 0 08 Feb 2024
An Auction-based Marketplace for Model Trading in Federated Learning Yue Cui Liuyi Yao Yaliang Li Ziqian Chen Bolin Ding Xiaofang Zhou FedML 50 3 0 02 Feb 2024
Spectral Co-Distillation for Personalized Federated Learning Zihan Chen Howard H. Yang Tony Q.S. Quek Kai Fong Ernest Chong OOD FedML 37 13 0 29 Jan 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 51 1 0 23 Jan 2024
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning Chu Myaet Thwal Minh N. H. Nguyen Ye Lin Tun Seongjin Kim My T. Thai Choong Seon Hong 67 5 0 22 Jan 2024
Communication Efficient and Provable Federated Unlearning Youming Tao Cheng-Long Wang Miao Pan Dongxiao Yu Xiuzhen Cheng Di Wang FedML MU 27 15 0 19 Jan 2024
Improving Local Training in Federated Learning via Temperature Scaling Kichang Lee Songkuk Kim Jeonggil Ko FedML 35 1 0 18 Jan 2024
Hijacking Attacks against Neural Networks by Analyzing Training Data Yunjie Ge Qian Wang Huayang Huang Qi Li Cong Wang Chao Shen Lingchen Zhao Peipei Jiang Zheng Fang Shenyi Zhang 21 0 0 18 Jan 2024
Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics Nicolò Romandini Alessio Mora Carlo Mazzocca R. Montanari Paolo Bellavista FedML MU 64 22 0 10 Jan 2024
Relaxed Contrastive Learning for Federated Learning Seonguk Seo Jinkyu Kim Geeho Kim Bohyung Han FedML 44 8 0 10 Jan 2024
Not all Minorities are Equal: Empty-Class-Aware Distillation for Heterogeneous Federated Learning Kuangpu Guo Yuhe Ding Jian Liang Ran He Zilei Wang Tieniu Tan FedML 45 1 0 04 Jan 2024
FedQV: Leveraging Quadratic Voting in Federated Learning Tianyue Chu Nikolaos Laoutaris FedML 42 2 0 02 Jan 2024
A review on different techniques used to combat the non-IID and heterogeneous nature of data in FL Iyer Venkataraman Natarajan 33 8 0 01 Jan 2024
Balanced Multi-modal Federated Learning via Cross-Modal Infiltration Yunfeng Fan Wenchao Xu Yining Qi Jiaqi Zhu Song Guo 34 0 0 31 Dec 2023
FedSDD: Scalable and Diversity-enhanced Distillation for Model Aggregation in Federated Learning Ho Man Kwan Shenghui Song FedML 25 2 0 28 Dec 2023