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1907.02189
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On the Convergence of FedAvg on Non-IID Data
4 July 2019
Xiang Li
Kaixuan Huang
Wenhao Yang
Shusen Wang
Zhihua Zhang
FedML
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Papers citing
"On the Convergence of FedAvg on Non-IID Data"
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Title
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning
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Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation
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Ali Hatamizadeh
An Xu
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Vishal M. Patel
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Wireless Quantized Federated Learning: A Joint Computation and Communication Design
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No Free Lunch Theorem for Security and Utility in Federated Learning
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Brendan J. Russo
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Hongbin Yu
33
40
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Zhiwei Hong
Minlie Huang
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05 Mar 2022
Towards Efficient and Stable K-Asynchronous Federated Learning with Unbounded Stale Gradients on Non-IID Data
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Xuebin Ren
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0
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Guodong Long
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0
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Interacting Contour Stochastic Gradient Langevin Dynamics
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Personalized Federated Learning with Exact Stochastic Gradient Descent
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Social Welfare Maximization in Cross-Silo Federated Learning
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Federated Stochastic Gradient Descent Begets Self-Induced Momentum
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Zuozhu Liu
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Alliance Makes Difference? Maximizing Social Welfare in Cross-Silo Federated Learning
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Gorkem Polat
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39
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Jihong Guan
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An Improved Analysis of Gradient Tracking for Decentralized Machine Learning
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Tao R. Lin
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106
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Proportional Fairness in Federated Learning
Guojun Zhang
Saber Malekmohammadi
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Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT
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Yihong He
Hongfang Yu
Jiawen Kang
Xiaoping Li
Zenglin Xu
Dusit Niyato
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03 Feb 2022
Communication Efficient Federated Learning for Generalized Linear Bandits
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Cheolwoo You
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Faster Convergence of Local SGD for Over-Parameterized Models
Tiancheng Qin
S. Rasoul Etesami
César A. Uribe
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6
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Srivatsan Ravi
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Guru Venkataramani
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Ziyi Yu
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78
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On-Device Learning with Cloud-Coordinated Data Augmentation for Extreme Model Personalization in Recommender Systems
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Chaoyue Niu
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Rongfeng Jia
Chengfei Lyu
Guihai Chen
22
9
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Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization
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Mingyue Ji
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Variance-Reduced Heterogeneous Federated Learning via Stratified Client Selection
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Wei Lou
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Demystifying Swarm Learning: A New Paradigm of Blockchain-based Decentralized Federated Learning
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53
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RFLBAT: A Robust Federated Learning Algorithm against Backdoor Attack
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Dihua Zhai
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Communication-Efficient Federated Learning with Accelerated Client Gradient
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40
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FedDTG:Federated Data-Free Knowledge Distillation via Three-Player Generative Adversarial Networks
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Robust Semi-supervised Federated Learning for Images Automatic Recognition in Internet of Drones
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Zehui Xiong
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35
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Robust Convergence in Federated Learning through Label-wise Clustering
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