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 in the Presence of Adversarial Client Unavailability Lili Su Ming Xiang Jiaming Xu Pengkun Yang FedML AAML 26 2 0 31 May 2023
Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning M.Yashwanth Gaurav Kumar Nayak Aryaveer Singh Yogesh Singh Anirban Chakraborty FedML 44 1 0 31 May 2023
FedDisco: Federated Learning with Discrepancy-Aware Collaboration Rui Ye Mingkai Xu Jianyu Wang Chenxin Xu Siheng Chen Yanfeng Wang FedML 48 62 0 30 May 2023
Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models Yuchao Gu Xintao Wang Jay Zhangjie Wu Yujun Shi Yunpeng Chen ... Shuning Chang Wei Wu Yixiao Ge Ying Shan Mike Zheng Shou DiffM 54 167 0 29 May 2023
Federated Conformal Predictors for Distributed Uncertainty Quantification Charles Lu Yaodong Yu Sai Praneeth Karimireddy Michael I. Jordan Ramesh Raskar FedML 50 22 0 27 May 2023
Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices Kilian Pfeiffer R. Khalili J. Henkel FedML 55 5 0 26 May 2023
pFedSim: Similarity-Aware Model Aggregation Towards Personalized Federated Learning Jiahao Tan Yipeng Zhou Gang Liu Jessie Hui Wang Shui Yu FedML 30 14 0 25 May 2023
Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training Yi Shi Yingqi Liu Yan Sun Zihao Lin Li Shen Xueqian Wang Dacheng Tao FedML 47 10 0 24 May 2023
FedZero: Leveraging Renewable Excess Energy in Federated Learning Philipp Wiesner R. Khalili Dennis Grinwald Pratik Agrawal L. Thamsen O. Kao 39 16 0 24 May 2023
Federated Learning of Medical Concepts Embedding using BEHRT Ofir Ben Shoham Nadav Rappoport FedML OOD 29 12 0 22 May 2023
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape Yan Sun Li Shen Shi-Yong Chen Liang Ding Dacheng Tao FedML 42 33 0 19 May 2023
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence Yuki Takezawa Ryoma Sato Han Bao Kenta Niwa M. Yamada 44 9 0 19 May 2023
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods Raphael Poulain Mirza Farhan Bin Tarek Rahmatollah Beheshti FedML 30 21 0 19 May 2023
FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment Jiahao Liu Jiang Wu Jinyu Chen Miao Hu Yipeng Zhou Di Wu FedML 46 17 0 10 May 2023
FedGT: Identification of Malicious Clients in Federated Learning with Secure Aggregation M. Xhemrishi Johan Ostman Antonia Wachter-Zeh Alexandre Graell i Amat FedML 33 6 0 09 May 2023
Can Fair Federated Learning reduce the need for Personalisation? Ferhat Ozgur Catak Pedro Gusmão S. Sarp FedML 20 1 0 04 May 2023
Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing Yi Shi Kang Wei Li Shen Jun Li Xueqian Wang Bo Yuan Song Guo 49 5 0 02 May 2023
Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy Yi Shi Kang Wei Li Shen Yingqi Liu Xueqian Wang Bo Yuan Dacheng Tao FedML 46 2 0 01 May 2023
Quality-Adaptive Split-Federated Learning for Segmenting Medical Images with Inaccurate Annotations Zahra Hafezi Kafshgari C. Shiranthika Parvaneh Saeedi Ivan V. Bajić FedML 31 6 0 28 Apr 2023
Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning Yanbo Dai Songze Li FedML 29 24 0 25 Apr 2023
Federated Learning of Shareable Bases for Personalization-Friendly Image Classification Hong-You Chen Shitian Zhao Ruotong Wang Xuhui Jia Qi Boqing Gong Wei-Lun Chao Li Zhang FedML 32 7 0 16 Apr 2023
Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning G. Legate Lucas Caccia Eugene Belilovsky FedML 41 10 0 11 Apr 2023
SLowcal-SGD: Slow Query Points Improve Local-SGD for Stochastic Convex Optimization Kfir Y. Levy Kfir Y. Levy FedML 53 2 0 09 Apr 2023
Protecting Federated Learning from Extreme Model Poisoning Attacks via Multidimensional Time Series Anomaly Detection Edoardo Gabrielli Dimitri Belli Vittorio Miori Gabriele Tolomei AAML 15 4 0 29 Mar 2023
FedAgg: Adaptive Federated Learning with Aggregated Gradients Wenhao Yuan Xuehe Wang FedML 53 0 0 28 Mar 2023
Personalized Federated Learning on Long-Tailed Data via Adversarial Feature Augmentation Yang Lu Pinxin Qian Gang Huang Hanzi Wang 50 11 0 27 Mar 2023
Adaptive Federated Learning via New Entropy Approach Shensheng Zheng Wenhao Yuan Xuehe Wang Ling-Yu Duan FedML OOD 33 1 0 27 Mar 2023
Neural Collapse Inspired Federated Learning with Non-iid Data Chenxi Huang Liang Xie Yibo Yang Wenxiao Wang Binbin Lin D. Cai FedML 34 3 0 27 Mar 2023
Make Landscape Flatter in Differentially Private Federated Learning Yi Shi Yingqi Liu Kang Wei Li Shen Xueqian Wang Dacheng Tao FedML 30 55 0 20 Mar 2023
FedMAE: Federated Self-Supervised Learning with One-Block Masked Auto-Encoder Nan Yang Xuanyu Chen Charles Z. Liu Dong Yuan Wei Bao Li-zhen Cui 43 2 0 20 Mar 2023
Visual Prompt Based Personalized Federated Learning Guang-Ming Li Wansen Wu Yan Sun Li Shen Baoyuan Wu Dacheng Tao FedML VLM 25 18 0 15 Mar 2023
Comparative Evaluation of Data Decoupling Techniques for Federated Machine Learning with Database as a Service Muhammad Jahanzeb Khan Rui Hu Mohammad Sadoghi Dongfang Zhao FedML 15 0 0 15 Mar 2023
Making Batch Normalization Great in Federated Deep Learning Shitian Zhao Hong-You Chen Wei-Lun Chao FedML 29 10 0 12 Mar 2023
FedLP: Layer-wise Pruning Mechanism for Communication-Computation Efficient Federated Learning Zheqi Zhu Yuchen Shi Jia Luo Fei-Yue Wang Chenghui Peng Pingyi Fan Khaled B. Letaief FedML 45 20 0 11 Mar 2023
GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting Kangyang Luo Xiang Li Yunshi Lan Ming Gao FedML 36 34 0 28 Feb 2023
Fusion of Global and Local Knowledge for Personalized Federated Learning Tiansheng Huang Li Shen Yan Sun Weiwei Lin Dacheng Tao FedML 64 12 0 21 Feb 2023
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy Yan Sun Li Shen Tiansheng Huang Liang Ding Dacheng Tao FedML 41 51 0 21 Feb 2023
Federated Gradient Matching Pursuit Halyun Jeong Deanna Needell Jing Qin FedML 37 1 0 20 Feb 2023
Magnitude Matters: Fixing SIGNSGD Through Magnitude-Aware Sparsification in the Presence of Data Heterogeneity Richeng Jin Xiaofan He C. Zhong Zhaoyang Zhang Tony Q.S. Quek H. Dai FedML 26 1 0 19 Feb 2023
Multimodal Federated Learning via Contrastive Representation Ensemble Qiying Yu Yang Liu Yimu Wang Ke Xu Jingjing Liu 37 82 0 17 Feb 2023
PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees Chulin Xie De-An Huang Wen-Hsuan Chu Daguang Xu Chaowei Xiao Yue Liu Anima Anandkumar FedML 31 10 0 13 Feb 2023
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation Peiyao Xiao Kaiyi Ji FedML 32 11 0 09 Feb 2023
Improving the Model Consistency of Decentralized Federated Learning Yi Shi Li Shen Kang Wei Yan Sun Bo Yuan Xueqian Wang Dacheng Tao FedML 41 51 0 08 Feb 2023
On the Convergence of Federated Averaging with Cyclic Client Participation Yae Jee Cho Pranay Sharma Gauri Joshi Zheng Xu Satyen Kale Tong Zhang FedML 46 27 0 06 Feb 2023
Federated Survival Forests Alberto Archetti Matteo Matteucci FedML 22 8 0 06 Feb 2023
Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity Youssef Allouah Sadegh Farhadkhani R. Guerraoui Nirupam Gupta Rafael Pinot John Stephan FedML 47 50 0 03 Feb 2023
FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations Hui-Po Wang Dingfan Chen Raouf Kerkouche Mario Fritz FedML DD 36 4 0 02 Feb 2023
FedFA: Federated Feature Augmentation Tianfei Zhou E. Konukoglu OOD FedML 54 29 0 30 Jan 2023
FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering Yongxin Guo Xiaoying Tang Tao R. Lin OOD FedML 38 8 0 29 Jan 2023
Heterogeneous Datasets for Federated Survival Analysis Simulation Alberto Archetti Eugenio Lomurno Francesco Lattari André Martin Matteo Matteucci FedML 18 8 0 28 Jan 2023