On the Convergence of FedAvg on Non-IID Data

4 July 2019

Xiang Li

Kaixuan Huang

Wenhao Yang

Papers citing "On the Convergence of FedAvg on Non-IID Data"

50 / 1,086 papers shown

Title
Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling Bing Luo Wenli Xiao Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 42 168 0 21 Dec 2021
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images Meirui Jiang Zirui Wang Qi Dou FedML 33 123 0 20 Dec 2021
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization Feijie Wu Song Guo Yining Qi Zhihao Qu Haobo Zhang Jiewei Zhang Ziming Liu 25 11 0 17 Dec 2021
LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization Huiming Chen Huandong Wang Quanming Yao Yong Li Depeng Jin Qiang Yang FedML 24 4 0 15 Dec 2021
Optimal Rate Adaption in Federated Learning with Compressed Communications Laizhong Cui Xiaoxin Su Yipeng Zhou Jiangchuan Liu FedML 42 39 0 13 Dec 2021
Efficient and Reliable Overlay Networks for Decentralized Federated Learning Yifan Hua Kevin Miller Andrea L. Bertozzi Chao Qian Bao Wang OOD FedML 39 20 0 12 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
Efficient Device Scheduling with Multi-Job Federated Learning Chen Zhou Ji Liu Juncheng Jia Jingbo Zhou Yang Zhou H. Dai Dejing Dou FedML 17 40 0 11 Dec 2021
On Convergence of Federated Averaging Langevin Dynamics Wei Deng Qian Zhang Yi Ma Zhao Song Guang Lin FedML 30 16 0 09 Dec 2021
On the Convergence of Shallow Neural Network Training with Randomly Masked Neurons Fangshuo Liao Anastasios Kyrillidis 49 16 0 05 Dec 2021
Intrinisic Gradient Compression for Federated Learning Luke Melas-Kyriazi Franklyn Wang FedML 23 3 0 05 Dec 2021
Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks Hankyul Baek Won Joon Yun Yunseok Kwak Soyi Jung Mingyue Ji M. Bennis Jihong Park Joongheon Kim FedML 74 21 0 05 Dec 2021
Context-Aware Online Client Selection for Hierarchical Federated Learning Zhe Qu Rui Duan Lixing Chen Jie Xu Zhuo Lu Yao-Hong Liu 39 61 0 02 Dec 2021
Personalized Federated Learning with Adaptive Batchnorm for Healthcare Wang Lu Jindong Wang Yiqiang Chen Xin Qin Renjun Xu Dimitrios Dimitriadis Tao Qin FedML OOD 24 61 0 01 Dec 2021
Efficient Federated Learning for AIoT Applications Using Knowledge Distillation Tian Liu Xian Wei Jun Xia Xin Fu Ting Wang Mingsong Chen 11 15 0 29 Nov 2021
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning Sixing Yu P. Nguyen Waqwoya Abebe Wei Qian Ali Anwar Ali Jannesari FedML 45 20 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
Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling Xubo Yue Raed Al Kontar FedML 51 9 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 16 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 36 76 0 26 Nov 2021
FedDropoutAvg: Generalizable federated learning for histopathology image classification G. N. Gunesli M. Bilal S. Raza Nasir M. Rajpoot FedML OOD 24 20 0 25 Nov 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 43 417 0 24 Nov 2021
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks Chaoyang He Alay Dilipbhai Shah Zhenheng Tang Adarshan Naiynar Sivashunmugam Keerti Bhogaraju Mita Shimpi Li Shen Xiaowen Chu Mahdi Soltanolkotabi Salman Avestimehr VLM FedML 37 68 0 22 Nov 2021
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning Yuezhou Wu Yan Kang Jiahuan Luo Yuanqin He Qiang Yang FedML AAML 19 69 0 16 Nov 2021
Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks M. Ramezani Weilin Cong Mehrdad Mahdavi M. Kandemir A. Sivasubramaniam GNN 20 32 0 16 Nov 2021
On the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks Minsu Kim Walid Saad Mohammad Mozaffari Merouane Debbah FedML MQ 19 23 0 15 Nov 2021
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges Mohammad M. Al-Quraan Lina S. Mohjazi Lina Bariah A. Centeno A. Zoha Sami Muhaidat Mérouane Debbah Muhammad Ali Imran 22 62 0 14 Nov 2021
ARFED: Attack-Resistant Federated averaging based on outlier elimination Ece Isik Polat Gorkem Polat Altan Koçyiğit AAML FedML 41 10 0 08 Nov 2021
Federated Learning Based on Dynamic Regularization D. A. E. Acar Yue Zhao Ramon Matas Navarro Matthew Mattina P. Whatmough Venkatesh Saligrama FedML 27 747 0 08 Nov 2021
Distributed stochastic proximal algorithm with random reshuffling for non-smooth finite-sum optimization Xia Jiang Xianlin Zeng Jian Sun Jie Chen Lihua Xie 18 6 0 06 Nov 2021
Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective Margalit Glasgow Honglin Yuan Tengyu Ma FedML 27 43 0 05 Nov 2021
Federated Semi-Supervised Learning with Class Distribution Mismatch Zhiguo Wang Xintong Wang Ruoyu Sun Tsung-Hui Chang FedML 39 12 0 29 Oct 2021
Improving Fairness via Federated Learning Yuchen Zeng Hongxu Chen Kangwook Lee FedML 19 60 0 29 Oct 2021
ADDS: Adaptive Differentiable Sampling for Robust Multi-Party Learning Maoguo Gong Yuan Gao Yue Wu •. A. K. Qin FedML OOD 6 1 0 29 Oct 2021
What Do We Mean by Generalization in Federated Learning? Honglin Yuan Warren Morningstar Lin Ning K. Singhal OOD FedML 41 71 0 27 Oct 2021
Differentially Private Federated Bayesian Optimization with Distributed Exploration Zhongxiang Dai K. H. Low Patrick Jaillet FedML 13 40 0 27 Oct 2021
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective Jingwei Sun Ang Li Louis DiValentin Amin Hassanzadeh Yiran Chen H. Li FedML OOD AAML 36 76 0 26 Oct 2021
MarS-FL: Enabling Competitors to Collaborate in Federated Learning Xiaohu Wu Han Yu 21 20 0 26 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 18 16 0 26 Oct 2021
Game of Gradients: Mitigating Irrelevant Clients in Federated Learning Lokesh Nagalapatti Mahdi S. Hosseini FedML 27 75 0 23 Oct 2021
TESSERACT: Gradient Flip Score to Secure Federated Learning Against Model Poisoning Attacks Atul Sharma Wei Chen Joshua C. Zhao Qiang Qiu Somali Chaterji S. Bagchi FedML AAML 54 5 0 19 Oct 2021
UniFed: A Unified Framework for Federated Learning on Non-IID Image Features Meirui Jiang Xiaoxiao Li Xiaofei Zhang Michael Kamp Qianming Dou FedML OOD 34 0 0 19 Oct 2021
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning Jun Luo Shandong Wu OOD MQ 68 75 0 15 Oct 2021
FedMe: Federated Learning via Model Exchange Koji Matsuda Yuya Sasaki Chuan Xiao Makoto Onizuka FedML 45 19 0 15 Oct 2021
FedSEAL: Semi-Supervised Federated Learning with Self-Ensemble Learning and Negative Learning Jieming Bian Zhu Fu Jie Xu FedML 29 13 0 15 Oct 2021
FedTune: Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective Huan Zhang Mi Zhang Xin Liu P. Mohapatra Michael DeLucia FedML 31 18 0 06 Oct 2021
Federated Learning via Plurality Vote Kai Yue Richeng Jin Chau-Wai Wong H. Dai FedML 24 8 0 06 Oct 2021
Secure Aggregation for Buffered Asynchronous Federated Learning Jinhyun So Ramy E. Ali Başak Güler A. Avestimehr FedML 17 26 0 05 Oct 2021
Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits Chuanhao Li Hongning Wang FedML 24 36 0 04 Oct 2021