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
Wind turbine condition monitoring based on intra- and inter-farm federated learning Albin Grataloup Stefan Jonas Angela Meyer AI4CE 41 0 0 05 Sep 2024
Buffer-based Gradient Projection for Continual Federated Learning Shenghong Dai Jy-yong Sohn Yicong Chen S. Alam Ravikumar Balakrishnan Suman Banerjee N. Himayat Kangwook Lee FedML 75 2 0 03 Sep 2024
Resource Efficient Asynchronous Federated Learning for Digital Twin Empowered IoT Network Shunfeng Chu Jun Li Jianxin Wang Yiyang Ni Kang Wei Wen Chen Shi Jin 28 0 0 26 Aug 2024
Neighborhood and Global Perturbations Supported SAM in Federated Learning: From Local Tweaks To Global Awareness Boyuan Li Zihao Peng Yafei Li Mingliang Xu Shengbo Chen Baofeng Ji Cong Shen FedML 60 0 0 26 Aug 2024
Tackling Data Heterogeneity in Federated Learning via Loss Decomposition Shuang Zeng Pengxin Guo Shuai Wang Jianbo Wang Yuyin Zhou Liangqiong Qu FedML 37 2 0 22 Aug 2024
Weight Scope Alignment: A Frustratingly Easy Method for Model Merging Yichu Xu Xin-Chun Li Le Gan De-Chuan Zhan MoMe 50 0 0 22 Aug 2024
Mitigating Noise Detriment in Differentially Private Federated Learning with Model Pre-training Huitong Jin Yipeng Zhou Laizhong Cui Quan Z. Sheng AI4CE 50 0 0 18 Aug 2024
FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher Alessio Mora Lorenzo Valerio Paolo Bellavista A. Passarella FedML MU 59 2 0 14 Aug 2024
Centralized and Federated Heart Disease Classification Models Using UCI Dataset and their Shapley-value Based Interpretability Mario Padilla Rodriguez Mohamed Nafea FedML 36 0 0 12 Aug 2024
CELLM: An Efficient Communication in Large Language Models Training for Federated Learning Raja Vavekanand Kira Sam 56 0 0 30 Jul 2024
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction Feijie Wu Xingchen Wang Yaqing Wang Tianci Liu Lu Su Jing Gao FedML 51 3 0 28 Jul 2024
SFPrompt: Communication-Efficient Split Federated Fine-Tuning for Large Pre-Trained Models over Resource-Limited Devices Linxiao Cao Yifei Zhu Wei Gong FedML 31 2 0 24 Jul 2024
The Diversity Bonus: Learning from Dissimilar Distributed Clients in Personalized Federated Learning Xinghao Wu Xuefeng Liu Jianwei Niu Guogang Zhu Shaojie Tang Xiaotian Li Jiannong Cao FedML 41 3 0 22 Jul 2024
Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models Xiao Liu Xiaoliu Guan Yu Wu Jiaxu Miao 44 7 0 22 Jul 2024
FedDM: Enhancing Communication Efficiency and Handling Data Heterogeneity in Federated Diffusion Models Jayneel Vora Nader Bouacida Aditya Krishnan Prasant Mohapatra FedML 60 1 0 20 Jul 2024
Jigsaw Game: Federated Clustering Jinxuan Xu Hong-You Chen Wei-Lun Chao Yuqian Zhang FedML 56 0 0 17 Jul 2024
A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated Learning Jiajun Song Jiajun Luo Rongwei Lu Shuzhao Xie Bin Chen Zhi Wang FedML 28 0 0 06 Jul 2024
Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients Mengmeng Ma Tang Li Xi Peng 86 4 0 06 Jul 2024
Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning Jiaqi Wang Chenxu Zhao Lingjuan Lyu Quanzeng You Mengdi Huai Fenglong Ma FedML 45 3 0 03 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
Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-Rank Decomposition Xinghao Wu Xuefeng Liu Jianwei Niu Haolin Wang Shaojie Tang Guogang Zhu Hao Su FedML 48 7 0 28 Jun 2024
Personalized Interpretation on Federated Learning: A Virtual Concepts approach Peng Yan Guodong Long Jing Jiang Michael Blumenstein FedML 25 0 0 28 Jun 2024
FLoCoRA: Federated learning compression with low-rank adaptation Lucas Grativol Ribeiro Mathieu Léonardon Guillaume Muller Virginie Fresse Matthieu Arzel AI4CE 37 1 0 20 Jun 2024
Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation Nikolas Koutsoubis Yasin Yilmaz Ravi P. Ramachandran M. Schabath Ghulam Rasool 34 8 0 18 Jun 2024
Federated Learning with a Single Shared Image Sunny Soni Aaqib Saeed Yuki M. Asano FedML DD 51 1 0 18 Jun 2024
Optimisation of federated learning settings under statistical heterogeneity variations Basem Suleiman M. J. Alibasa R. Purwanto Lewis Jeffries Ali Anaissi Jacky Song FedML 41 0 0 10 Jun 2024
Federated LoRA with Sparse Communication Kevin Kuo Arian Raje Kousik Rajesh Virginia Smith 46 8 0 07 Jun 2024
FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models Guangyi Liu Rui Ge Xinyu Zhu Jingyi Chai Yaxin Du Yang Liu Yanfeng Wang Siheng Chen FedML 41 14 0 07 Jun 2024
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles Cyprien Quéméneur Soumaya Cherkaoui 45 3 0 05 Jun 2024
FedStaleWeight: Buffered Asynchronous Federated Learning with Fair Aggregation via Staleness Reweighting Jeffrey Ma Alan Tu Yiling Chen Vijay Janapa Reddi FedML 42 0 0 05 Jun 2024
Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials Jonathan Scott Áine Cahill FedML 45 0 0 04 Jun 2024
Accelerating Heterogeneous Federated Learning with Closed-form Classifiers Eros Fani Raffaello Camoriano Barbara Caputo Marco Ciccone 47 4 0 03 Jun 2024
Blockchain-aided wireless federated learning: Resource allocation and client scheduling Jun Li Weiwei Zhang Kang Wei Guangji Chen Feng Shu Wen Chen Shi Jin 57 0 0 02 Jun 2024
Communication-Efficient Distributed Deep Learning via Federated Dynamic Averaging Michail Theologitis Georgios Frangias Georgios Anestis V. Samoladas Antonios Deligiannakis FedML 40 0 0 31 May 2024
BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federated Learning Songze Li Yanbo Dai AAML FedML 40 7 0 31 May 2024
Pursuing Overall Welfare in Federated Learning through Sequential Decision Making S. Hahn Gi-Soo Kim Junghye Lee FedML 32 1 0 31 May 2024
Selective Knowledge Sharing for Personalized Federated Learning Under Capacity Heterogeneity Zheng Wang Zheng Wang Zhaopeng Peng Zihui Wang Cheng-i Wang FedML 43 0 0 31 May 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 44 1 0 30 May 2024
Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization Ziqing Fan Shengchao Hu Jiangchao Yao Gang Niu Ya Zhang Masashi Sugiyama Yanfeng Wang FedML 44 11 0 29 May 2024
Dual-Delayed Asynchronous SGD for Arbitrarily Heterogeneous Data Xiaolu Wang Yuchang Sun Hoi-To Wai Jun Zhang 49 0 0 27 May 2024
Multi-Level Additive Modeling for Structured Non-IID Federated Learning Shutong Chen Tianyi Zhou Guodong Long Jie Ma Jing Jiang Chengqi Zhang FedML 51 1 0 26 May 2024
Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing Yongxin Guo Lin Wang Xiaoying Tang Tao R. Lin FedML OOD 34 0 0 25 May 2024
Harnessing Increased Client Participation with Cohort-Parallel Federated Learning Akash Dhasade Anne-Marie Kermarrec Tuan-Anh Nguyen Rafael Pires M. Vos FedML 33 0 0 24 May 2024
Overcoming the Challenges of Batch Normalization in Federated Learning R. Guerraoui Rafael Pinot Geovani Rizk John Stephan François Taiani FedML 17 3 0 23 May 2024
Variational Bayes for Federated Continual Learning Dezhong Yao Sanmu Li Yutong Dai Zhiqiang Xu Shengshan Hu Peilin Zhao Lichao Sun FedML 56 1 0 23 May 2024
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data Sakshi Choudhary Sai Aparna Aketi Kaushik Roy FedML 45 0 0 22 May 2024
Unmasking Efficiency: Learning Salient Sparse Models in Non-IID Federated Learning Riyasat Ohib Bishal Thapaliya Gintare Karolina Dziugaite Jingyu Liu Vince D. Calhoun Sergey Plis FedML 32 1 0 15 May 2024
Federated Document Visual Question Answering: A Pilot Study Khanh Nguyen Dimosthenis Karatzas FedML 47 0 0 10 May 2024
Interpretable Data Fusion for Distributed Learning: A Representative Approach via Gradient Matching Mengchen Fan Baocheng Geng Keren Li Xueqian Wang Pramod K. Varshney FaML FedML 37 0 0 06 May 2024
A Mutual Information Perspective on Federated Contrastive Learning Christos Louizos M. Reisser Denis Korzhenkov SSL FedML 32 2 0 03 May 2024