Federated Learning with Non-IID Data

2 June 2018

Papers citing "Federated Learning with Non-IID Data"

50 / 448 papers shown

Title
Robust Convergence in Federated Learning through Label-wise Clustering Hunmin Lee Yueyang Liu Donghyun Kim Yingshu Li FedML 25 1 0 28 Dec 2021
FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition Chih-Ting Liu Chien-Yi Wang Shao-Yi Chien S. Lai FedML 24 36 0 23 Dec 2021
FedPOIRec: Privacy Preserving Federated POI Recommendation with Social Influence V. Perifanis George Drosatos Giorgos Stamatelatos P. Efraimidis 27 57 0 21 Dec 2021
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images Meirui Jiang Zirui Wang Qi Dou FedML 33 124 0 20 Dec 2021
FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning Yi Zhou Parikshit Ram Theodoros Salonidis Nathalie Baracaldo Horst Samulowitz Heiko Ludwig AI4CE 37 25 0 15 Dec 2021
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification Ashwinee Panda Saeed Mahloujifar A. Bhagoji Supriyo Chakraborty Prateek Mittal FedML AAML 17 85 0 12 Dec 2021
Improving Performance of Federated Learning based Medical Image Analysis in Non-IID Settings using Image Augmentation Alper Cetinkaya M. Akin Ş. Sağiroğlu OOD FedML 30 16 0 12 Dec 2021
FedRAD: Federated Robust Adaptive Distillation Stefán Páll Sturluson Samuel Trew Luis Muñoz-González Matei Grama Jonathan Passerat-Palmbach Daniel Rueckert A. Alansary FedML 21 17 0 02 Dec 2021
The Impact of Data Distribution on Fairness and Robustness in Federated Learning Mustafa Safa Ozdayi Murat Kantarcioglu FedML OOD 24 4 0 29 Nov 2021
Fed2: Feature-Aligned Federated Learning Fuxun Yu Weishan Zhang Zhuwei Qin Zirui Xu Di Wang Chenchen Liu Zhi Tian Xiang Chen FedML 28 74 0 28 Nov 2021
Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression François Gauthier Vinay Chakravarthi Gogineni Stefan Werner Yih-Fang Huang A. Kuh FedML 21 9 0 27 Nov 2021
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead Marcos F. Criado F. Casado R. Iglesias Carlos V. Regueiro S. Barro FedML 38 77 0 26 Nov 2021
Decentralized Unsupervised Learning of Visual Representations Yawen Wu Zhepeng Wang Dewen Zeng Meng Li Yiyu Shi Jingtong Hu SSL 40 23 0 21 Nov 2021
On-Demand Unlabeled Personalized Federated Learning Ohad Amosy G. Eyal Gal Chechik FedML 46 2 0 16 Nov 2021
An Energy Consumption Model for Electrical Vehicle Networks via Extended Federated-learning Shiliang Zhang 21 2 0 13 Nov 2021
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning Raed Al Kontar Naichen Shi Xubo Yue Seokhyun Chung E. Byon ... Chinedum Okwudire Garvesh Raskutti R. Saigal Karandeep Singh Ye Zhisheng FedML 49 51 0 09 Nov 2021
DQRE-SCnet: A novel hybrid approach for selecting users in Federated Learning with Deep-Q-Reinforcement Learning based on Spectral Clustering Mohsen Ahmadi Ali Taghavirashidizadeh D. Javaheri Armin Masoumian Saeid Jafarzadeh Ghoushchi Y. Pourasad FedML 40 60 0 07 Nov 2021
A Cyber Threat Intelligence Sharing Scheme based on Federated Learning for Network Intrusion Detection Mohanad Sarhan S. Layeghy Nour Moustafa Marius Portmann FedML 27 72 0 04 Nov 2021
FedGraph: Federated Graph Learning with Intelligent Sampling Fahao Chen Peng Li T. Miyazaki Celimuge Wu FedML 27 78 0 02 Nov 2021
What Do We Mean by Generalization in Federated Learning? Honglin Yuan Warren Morningstar Lin Ning K. Singhal OOD FedML 46 71 0 27 Oct 2021
Semi-Supervised Federated Learning with non-IID Data: Algorithm and System Design Zhe Zhang Shiyao Ma Jiangtian Nie Yi Wu Qiang Yan Xiaoke Xu Dusit Niyato FedML 21 16 0 26 Oct 2021
Game of Gradients: Mitigating Irrelevant Clients in Federated Learning Lokesh Nagalapatti Mahdi S. Hosseini FedML 30 75 0 23 Oct 2021
Federated Learning over Wireless IoT Networks with Optimized Communication and Resources Student Member Ieee Hao Chen Shaocheng Huang Deyou Zhang Ming Xiao Fellow Ieee Mikael Skoglund L. F. I. H. Vincent Poor 45 94 0 22 Oct 2021
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d. Environments Joost Verbraeken M. Vos J. Pouwelse 31 4 0 21 Oct 2021
Evaluation of Hyperparameter-Optimization Approaches in an Industrial Federated Learning System Stephan Holly Thomas Hiessl Safoura Rezapour Lakani Daniel Schall C. Heitzinger J. Kemnitz FedML 47 17 0 15 Oct 2021
Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis Yi Liu Yuanshao Zhu James J. Q. Yu FedML 32 28 0 14 Oct 2021
Dual Attention-Based Federated Learning for Wireless Traffic Prediction Chuanting Zhang Shuping Dang B. Shihada Mohamed-Slim Alouini 23 84 0 11 Oct 2021
Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs B. Soret L. Nguyen J. Seeger Arne Bröring Chaouki Ben Issaid S. Samarakoon Anis El Gabli V. Kulkarni M. Bennis P. Popovski 31 13 0 04 Oct 2021
A Deep Learning Perspective on Connected Automated Vehicle (CAV) Cybersecurity and Threat Intelligence M. Basnet Mohd. Hasan Ali 26 7 0 22 Sep 2021
Connecting Low-Loss Subspace for Personalized Federated Learning S. Hahn Minwoo Jeong Junghye Lee FedML 24 18 0 16 Sep 2021
Source Inference Attacks in Federated Learning Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Xuyun Zhang 27 79 0 13 Sep 2021
FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning Liwei Che Zewei Long Jiaqi Wang Yaqing Wang Houping Xiao Fenglong Ma FedML 27 23 0 12 Sep 2021
Multimodal Federated Learning on IoT Data Yuchen Zhao Payam Barnaghi Hamed Haddadi 13 74 0 10 Sep 2021
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning Zewei Long Jiaqi Wang Yaqing Wang Houping Xiao Fenglong Ma FedML 50 22 0 09 Sep 2021
FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained Federated Learning with Heterogeneous On-Device Models Lan Zhang Dapeng Wu Xiaoyong Yuan FedML 38 48 0 08 Sep 2021
Byzantine-Robust Federated Learning via Credibility Assessment on Non-IID Data Kun Zhai Qiang Ren Junli Wang Chungang Yan 18 11 0 06 Sep 2021
Federated Learning for Open Banking Guodong Long Yue Tan Jing Jiang Chengqi Zhang AIFin FedML 46 275 0 24 Aug 2021
Data-Free Evaluation of User Contributions in Federated Learning Hongtao Lv Zhenzhe Zheng Tie-Mei Luo Fan Wu Shaojie Tang Lifeng Hua Rongfei Jia Chengfei Lv FedML 18 23 0 24 Aug 2021
Federated Learning for UAV Swarms Under Class Imbalance and Power Consumption Constraints Ilyes Mrad L. Samara A. Abdellatif A. Al-Abbasi R. Hamila A. Erbad 29 10 0 23 Aug 2021
Mobility-Aware Cluster Federated Learning in Hierarchical Wireless Networks Chenyuan Feng Heng Yang Deshun Hu Zhiwei Zhao Tony Q.S. Quek Geyong Min 38 74 0 20 Aug 2021
Towards More Efficient Federated Learning with Better Optimization Objects Zirui Zhu Ziyi Ye FedML 21 0 0 19 Aug 2021
Federated Variational Learning for Anomaly Detection in Multivariate Time Series Kai Zhang Yushan Jiang Lee M. Seversky Chengtao Xu Dahai Liu Haoze Song AI4TS 14 26 0 18 Aug 2021
Aggregation Delayed Federated Learning Ye Xue Diego Klabjan Yuan Luo FedML OOD 28 5 0 17 Aug 2021
Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge Networks A. Albaseer M. Abdallah Ala I. Al-Fuqaha A. Erbad 25 32 0 16 Aug 2021
Dynamic Attention-based Communication-Efficient Federated Learning Zihan Chen Kai Fong Ernest Chong Tony Q.S. Quek FedML 50 11 0 12 Aug 2021
The Effect of Training Parameters and Mechanisms on Decentralized Federated Learning based on MNIST Dataset Zhuofan Zhang Mi Zhou K. Niu C. Abdallah FedML 44 1 0 07 Aug 2021
GIFAIR-FL: A Framework for Group and Individual Fairness in Federated Learning Xubo Yue Maher Nouiehed Raed Al Kontar FedML 37 37 0 05 Aug 2021
Evaluating Federated Learning for Intrusion Detection in Internet of Things: Review and Challenges Enrique Mármol Campos Pablo Fernández Saura Aurora González-Vidal José Luis Hernández Ramos Jorge Bernal Bernabé G. Baldini A. Gómez-Skarmeta 52 149 0 02 Aug 2021
A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee Chunjiang Che Xiaoli Li Chuan Chen Xiaoyu He Zibin Zheng FedML 46 73 0 01 Aug 2021
Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness Yuwei Sun H. Ochiai Hiroshi Esaki FedML 76 45 0 30 Jul 2021