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
SABLE: Secure And Byzantine robust LEarning Antoine Choffrut R. Guerraoui Rafael Pinot Renaud Sirdey John Stephan Martin Zuber AAML 39 2 0 11 Sep 2023
A Comparative Evaluation of FedAvg and Per-FedAvg Algorithms for Dirichlet Distributed Heterogeneous Data Hamza Reguieg Mohammed El Hanjri Mohamed El-Kamili A. Kobbane FedML 28 7 0 03 Sep 2023
Jointly Exploring Client Drift and Catastrophic Forgetting in Dynamic Learning Niklas Babendererde Moritz Fuchs Camila González Yuri Tolkach Anirban Mukhopadhyay OOD FedML 23 2 0 01 Sep 2023
REFT: Resource-Efficient Federated Training Framework for Heterogeneous and Resource-Constrained Environments Humaid Ahmed Desai Amr B. Hilal Hoda Eldardiry 29 0 0 25 Aug 2023
Heterogeneous Federated Learning via Personalized Generative Networks Zahra Taghiyarrenani Abdallah S. Abdallah Sławomir Nowaczyk Sepideh Pashami FedML 33 0 0 25 Aug 2023
Protect Federated Learning Against Backdoor Attacks via Data-Free Trigger Generation Yanxin Yang Ming Hu Yue Cao Jun Xia Yihao Huang Yang Liu Mingsong Chen FedML 31 6 0 22 Aug 2023
Federated Learning on Patient Data for Privacy-Protecting Polycystic Ovary Syndrome Treatment Lucía Morris Tori Qiu Nikhil Raghuraman 32 0 0 22 Aug 2023
Rethinking Client Drift in Federated Learning: A Logit Perspective Yu-bao Yan Chun-Mei Feng Senior Member Ieee Wangmeng Zuo Senior Member Ieee Mang Ye Mong Goh Ping Li Rick Siow Lei Zhu F. I. C. L. Philip Chen FedML 42 8 0 20 Aug 2023
Understanding the Role of Layer Normalization in Label-Skewed Federated Learning Guojun Zhang Mahdi Beitollahi Alex Bie Xi Chen FedML MLT AI4CE 22 1 0 18 Aug 2023
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data Xinting Liao Chaochao Chen Weiming Liu Pengyang Zhou Huabin Zhu Shuheng Shen Weiqiang Wang Mengling Hu Yanchao Tan Xiaolin Zheng FedML 42 6 0 17 Aug 2023
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service Zilinghan Li Shilan He Pranshu Chaturvedi Trung-Hieu Hoang Minseok Ryu ... Jordan D. Fuhrman Maryellen L. Giger Ryan Chard Kibaek Kim Ravi K. Madduri 41 6 0 17 Aug 2023
DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning Qinglun Li Li Shen Guang-Ming Li Quanjun Yin Dacheng Tao FedML 34 7 0 16 Aug 2023
FLShield: A Validation Based Federated Learning Framework to Defend Against Poisoning Attacks Ehsanul Kabir Zeyu Song Md. Rafi Ur Rashid Shagufta Mehnaz 32 7 0 10 Aug 2023
FLIPS: Federated Learning using Intelligent Participant Selection R. Bhope K.R. Jayaram N. Venkatasubramanian Ashish Verma Gegi Thomas FedML 34 3 0 07 Aug 2023
Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data Zhuang Qi Lei Meng Zitan Chen Han Hu Hui Lin Xiangxu Meng FedML 26 18 0 07 Aug 2023
Scaling Survival Analysis in Healthcare with Federated Survival Forests: A Comparative Study on Heart Failure and Breast Cancer Genomics Alberto Archetti F. Ieva Matteo Matteucci FedML 25 10 0 04 Aug 2023
Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup Yan Sun Li Shen Hao Sun Liang Ding Dacheng Tao FedML 29 17 0 30 Jul 2023
UPFL: Unsupervised Personalized Federated Learning towards New Clients Tiandi Ye Cen Chen Yinggui Wang Xiang Li Ming Gao FedML 26 4 0 29 Jul 2023
Efficient Semi-Supervised Federated Learning for Heterogeneous Participants Zhipeng Sun Yang Xu Hong-Ze Xu Liusheng Huang C. Qiao FedML 27 0 0 29 Jul 2023
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design Mahdi Morafah Weijia Wang Bill Lin FedML 35 7 0 28 Jul 2023
HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning Xinting Liao Weiming Liu Chaochao Chen Pengyang Zhou Huabin Zhu Yanchao Tan Jun Wang Yue Qi FedML 38 11 0 26 Jul 2023
FedDRL: A Trustworthy Federated Learning Model Fusion Method Based on Staged Reinforcement Learning Leiming Chen Kai Wang Cihao Dong Sibo Qiao Ziling Huang Yuming Nie Zhaoxiang Hou C. Tan FedML 26 2 0 25 Jul 2023
ProtoFL: Unsupervised Federated Learning via Prototypical Distillation H. Kim Youngjun Kwak Mi-Young Jung Jinho Shin Youngsung Kim Changick Kim FedML 35 9 0 23 Jul 2023
Training Latency Minimization for Model-Splitting Allowed Federated Edge Learning Yao Wen GuoPeng Zhang Kezhi Wang Kun Yang FedML 38 3 0 21 Jul 2023
Blockchain-Based Federated Learning: Incentivizing Data Sharing and Penalizing Dishonest Behavior Amir Jaberzadeh A. Shrestha F. Khan Mohammed Afaan Shaikh Bhargav Dave Jason Geng FedML 27 3 0 19 Jul 2023
Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning Zachary B. Charles Nicole Mitchell Krishna Pillutla Michael Reneer Zachary Garrett FedML AI4CE 40 28 0 18 Jul 2023
Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels Yae Jee Cho Gauri Joshi Dimitrios Dimitriadis FedML 28 4 0 17 Jul 2023
FedCME: Client Matching and Classifier Exchanging to Handle Data Heterogeneity in Federated Learning Junjun Nie Danyang Xiao Lei Yang Weigang Wu FedML 41 0 0 17 Jul 2023
Locally Adaptive Federated Learning Sohom Mukherjee Nicolas Loizou Sebastian U. Stich FedML 21 3 0 12 Jul 2023
Benchmarking Algorithms for Federated Domain Generalization Ruqi Bai S. Bagchi David I. Inouye FedML 40 12 0 11 Jul 2023
Fairness-aware Federated Minimax Optimization with Convergence Guarantee Gerry Windiarto Mohamad Dunda Shenghui Song FedML 30 1 0 10 Jul 2023
Momentum Benefits Non-IID Federated Learning Simply and Provably Ziheng Cheng Xinmeng Huang Pengfei Wu Kun Yuan FedML 35 17 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 43 6 0 26 Jun 2023
FLGo: A Fully Customizable Federated Learning Platform Zhilin Wang Xiaoliang Fan Zhaopeng Peng Xueheng Li Ziqi Yang Mingkuan Feng Zhicheng Yang Xiao Liu Cheng-i Wang FedML 32 11 0 21 Jun 2023
Adaptive Federated Learning with Auto-Tuned Clients J. Kim Taha Toghani César A. Uribe Anastasios Kyrillidis FedML 48 6 0 19 Jun 2023
Federated Few-shot Learning Song Wang Xingbo Fu Kaize Ding Chen Chen Huiyuan Chen Jundong Li FedML 52 22 0 17 Jun 2023
Opportunistic Transmission of Distributed Learning Models in Mobile UAVs Jingxin Li Xiaolan Liu Toktam Mahmoodi 27 2 0 15 Jun 2023
A Simple Data Augmentation for Feature Distribution Skewed Federated Learning Yu-Hu Yan Lei Zhu FedML OOD 35 10 0 14 Jun 2023
SRATTA : Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning Tanguy Marchand Regis Loeb Ulysse Marteau-Ferey Jean Ogier du Terrail Arthur Pignet FedML 42 4 0 13 Jun 2023
Optimizing the Collaboration Structure in Cross-Silo Federated Learning Wenxuan Bao Haohan Wang Jun Wu Jingrui He FedML 20 23 0 10 Jun 2023
Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization Yan Sun Li Shen Dacheng Tao FedML 20 14 0 09 Jun 2023
G $^2$ uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering Hao Yu Chuan Ma Meng Liu Tianyu Du Ming Ding Tao Xiang Shouling Ji Xinwang Liu AAML FedML 38 12 0 08 Jun 2023
FedVal: Different good or different bad in federated learning Viktor Valadi Xinchi Qiu Pedro Gusmão Nicholas D. Lane Mina Alibeigi FedML AAML 17 2 0 06 Jun 2023
Guiding The Last Layer in Federated Learning with Pre-Trained Models G. Legate Nicolas Bernier Lucas Caccia Edouard Oyallon Eugene Belilovsky FedML 24 8 0 06 Jun 2023
Personalization Disentanglement for Federated Learning: An explainable perspective Peng Yan Guodong Long FedML 13 4 0 06 Jun 2023
A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging Shiqiang Wang Mingyue Ji FedML 38 0 0 06 Jun 2023
Jammer classification with Federated Learning Peng Wu Helena Calatrava Tales Imbiriba Pau Closas 28 8 0 05 Jun 2023
Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation Davoud Ataee Tarzanagh Mingchen Li Pranay Sharma Samet Oymak 34 0 0 02 Jun 2023
FACT: Federated Adversarial Cross Training Stefan Schrod Jonas Lippl Andreas Schäfer Michael Altenbuchinger FedML HILM 21 3 0 01 Jun 2023
Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging Jiamian Wang Zong-Jhe Wu Yulun Zhang Xin Yuan Tao R. Lin Zhiqiang Tao FedML 70 3 0 01 Jun 2023