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Federated Optimization in Heterogeneous Networks

14 December 2018

Papers citing "Federated Optimization in Heterogeneous Networks"

50 / 1,027 papers shown

Title
Private Non-Convex Federated Learning Without a Trusted Server Andrew Lowy Ali Ghafelebashi Meisam Razaviyayn FedML 99 27 0 13 Mar 2022
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation Pengfei Guo Dong Yang Ali Hatamizadeh An Xu Ziyue Xu ... F. Patella Elvira Stellato G. Carrafiello Vishal M. Patel H. Roth OOD FedML 87 33 0 12 Mar 2022
Deep Class Incremental Learning from Decentralized Data Xiaohan Zhang Songlin Dong Jinjie Chen Qiaoling Tian Yihong Gong Xiaopeng Hong CLL 81 11 0 11 Mar 2022
Differentially Private Federated Learning with Local Regularization and Sparsification Anda Cheng Peisong Wang Xi Sheryl Zhang Jian Cheng FedML 73 77 0 07 Mar 2022
Federated and Generalized Person Re-identification through Domain and Feature Hallucinating Fengxiang Yang Zhun Zhong Zhiming Luo Shaozi Li N. Sebe FedML OOD 91 7 0 05 Mar 2022
Acceleration of Federated Learning with Alleviated Forgetting in Local Training Chencheng Xu Zhiwei Hong Minlie Huang Tao Jiang FedML 88 46 0 05 Mar 2022
Towards Efficient and Stable K-Asynchronous Federated Learning with Unbounded Stale Gradients on Non-IID Data Zihao Zhou Yanan Li Xuebin Ren Shusen Yang 76 31 0 02 Mar 2022
Personalized Federated Learning With Graph Fengwen Chen Guodong Long Zonghan Wu Tianyi Zhou Jing Jiang FedML 120 56 0 02 Mar 2022
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization Jaehong Yoon Geondo Park Wonyong Jeong Sung Ju Hwang FedML 79 19 0 23 Feb 2022
FedCAT: Towards Accurate Federated Learning via Device Concatenation Ming Hu Tian Liu Zhiwei Ling Zhihao Yue Mingsong Chen FedML 44 1 0 23 Feb 2022
PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networks Xingjian Cao Gang Sun Hongfang Yu Mohsen Guizani FedML 75 59 0 18 Feb 2022
FLAME: Federated Learning Across Multi-device Environments Hyunsung Cho Akhil Mathur F. Kawsar 78 21 0 17 Feb 2022
Federated Graph Neural Networks: Overview, Techniques and Challenges R. Liu Pengwei Xing Zichao Deng Anran Li Cuntai Guan Han Yu FedML 113 87 0 15 Feb 2022
Do Gradient Inversion Attacks Make Federated Learning Unsafe? Ali Hatamizadeh Hongxu Yin Pavlo Molchanov Andriy Myronenko Wenqi Li ... Andrew Feng Mona G. Flores Jan Kautz Daguang Xu H. Roth FedML 96 68 0 14 Feb 2022
On the Convergence of Clustered Federated Learning Ma Jie Guodong Long Dinesh Manocha Jing Jiang Chengqi Zhang FedML 77 49 0 13 Feb 2022
FL_PyTorch: optimization research simulator for federated learning Konstantin Burlachenko Samuel Horváth Peter Richtárik FedML 102 18 0 07 Feb 2022
Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT Zonghang Li Yihong He Hongfang Yu Jiawen Kang Xiaoping Li Zenglin Xu Dusit Niyato FedML 132 101 0 03 Feb 2022
Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs Hongwei Jin Xun Chen 96 9 0 01 Feb 2022
Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning J. Ahn Yeeun Ma Seoyun Park Cheolwoo You FedML 116 23 0 01 Feb 2022
Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training Shenglai Zeng Zonghang Li Hongfang Yu Yihong He Zenglin Xu Dusit Niyato Han Yu FedML 102 19 0 31 Jan 2022
FedMed-ATL: Misaligned Unpaired Brain Image Synthesis via Affine Transform Loss Jinbao Wang Guoyang Xie Yawen Huang Yefeng Zheng Yaochu Jin Feng Zheng MedIm 68 9 0 29 Jan 2022
Towards Fast and Accurate Federated Learning with non-IID Data for Cloud-Based IoT Applications Tian Liu Jiahao Ding Ting Wang Miao Pan Mingsong Chen 42 7 0 29 Jan 2022
Gradient Masked Averaging for Federated Learning Irene Tenison Sai Aravind Sreeramadas Vaikkunth Mugunthan Edouard Oyallon Irina Rish Eugene Belilovsky FedML 119 25 0 28 Jan 2022
A dual approach for federated learning Zhenan Fan Huang Fang M. Friedlander FedML 71 3 0 26 Jan 2022
Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients Riccardo Zaccone Andrea Rizzardi Debora Caldarola Marco Ciccone Barbara Caputo FedML 108 14 0 26 Jan 2022
Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning Wenzhi Fang Ziyi Yu Yuning Jiang Yuanming Shi Colin N. Jones Yong Zhou FedML 126 60 0 24 Jan 2022
FedMed-GAN: Federated Domain Translation on Unsupervised Cross-Modality Brain Image Synthesis Jinbao Wang Guoyang Xie Yawen Huang Yuexiang Li Yefeng Zheng Feng Zheng Yaochu Jin FedML MedIm 132 49 0 22 Jan 2022
Federated Learning with Heterogeneous Architectures using Graph HyperNetworks Or Litany Haggai Maron David Acuna Jan Kautz Gal Chechik Sanja Fidler FedML 86 24 0 20 Jan 2022
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization Jake B. Perazzone Shiqiang Wang Mingyue Ji Kevin S. Chan FedML 64 77 0 19 Jan 2022
Variance-Reduced Heterogeneous Federated Learning via Stratified Client Selection Guangyuan Shen D. Gao Libin Yang Fang Zhou Duanxiao Song Wei Lou Shirui Pan FedML 63 9 0 15 Jan 2022
Partial Model Averaging in Federated Learning: Performance Guarantees and Benefits Sunwoo Lee Anit Kumar Sahu Chaoyang He Salman Avestimehr FedML 65 19 0 11 Jan 2022
An Interpretable Federated Learning-based Network Intrusion Detection Framework Tian Dong Song Li Han Qiu Jialiang Lu FedML 43 16 0 10 Jan 2022
A Multi-agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning Shanghang Zhang Jieyu Lin Qi Zhang 83 71 0 09 Jan 2022
Optimizing the Communication-Accuracy Trade-off in Federated Learning with Rate-Distortion Theory Nicole Mitchell Johannes Ballé Zachary B. Charles Jakub Konecný FedML 128 21 0 07 Jan 2022
FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients Jaemin Shin Yuanchun Li Yunxin Liu Sung-Ju Lee FedML 69 77 0 05 Jan 2022
Towards Understanding Quality Challenges of the Federated Learning for Neural Networks: A First Look from the Lens of Robustness Amin Eslami Abyane Derui Zhu Roberto Souza Lei Ma Hadi Hemmati AAML OOD FedML 45 4 0 05 Jan 2022
Robust Semi-supervised Federated Learning for Images Automatic Recognition in Internet of Drones Zhe Zhang Shiyao Ma Zhaohui Yang Zehui Xiong Jiawen Kang Yi Wu Kejia Zhang Dusit Niyato 65 36 0 03 Jan 2022
Tiansuan Constellation: An Open Research Platform Shangguang Wang Qing Li Mengwei Xu Xiao Ma Ao Zhou Qibo Sun LRM 65 42 0 30 Dec 2021
SPIDER: Searching Personalized Neural Architecture for Federated Learning Erum Mushtaq Chaoyang He Jie Ding A. Avestimehr FedML 97 20 0 27 Dec 2021
Wireless-Enabled Asynchronous Federated Fourier Neural Network for Turbulence Prediction in Urban Air Mobility (UAM) Tengchan Zeng Omid Semiari Walid Saad M. Bennis 65 3 0 26 Dec 2021
Towards Federated Learning on Time-Evolving Heterogeneous Data Yongxin Guo Tao R. Lin Xiaoying Tang FedML 90 31 0 25 Dec 2021
Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling Bing Luo Wenli Xiao Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 112 177 0 21 Dec 2021
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images Meirui Jiang Zirui Wang Qi Dou FedML 130 133 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 70 11 0 17 Dec 2021
CodedPaddedFL and CodedSecAgg: Straggler Mitigation and Secure Aggregation in Federated Learning Reent Schlegel Siddhartha Kumar E. Rosnes Alexandre Graell i Amat FedML 79 45 0 16 Dec 2021
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems Martin Rapp R. Khalili Kilian Pfeiffer J. Henkel 82 18 0 16 Dec 2021
FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning Yi Zhou Parikshit Ram Theodoros Salonidis Nathalie Baracaldo Horst Samulowitz Heiko Ludwig AI4CE 79 25 0 15 Dec 2021
Analysis and Evaluation of Synchronous and Asynchronous FLchain F. Wilhelmi L. Giupponi Paolo Dini 68 7 0 15 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 65 5 0 15 Dec 2021
Federated Learning for Face Recognition with Gradient Correction Yifan Niu Weihong Deng FedML 111 57 0 14 Dec 2021