Federated Optimization in Heterogeneous Networks

14 December 2018

Papers citing "Federated Optimization in Heterogeneous Networks"

50 / 783 papers shown

Title
FedTP: Federated Learning by Transformer Personalization Hongxia Li Zhongyi Cai Jingya Wang Jiangnan Tang Weiping Ding Chin-Teng Lin Ye-ling Shi FedML 38 59 0 03 Nov 2022
FL Games: A Federated Learning Framework for Distribution Shifts Sharut Gupta Kartik Ahuja Mohammad Havaei N. Chatterjee Yoshua Bengio OOD FedML 29 18 0 31 Oct 2022
Communication-Efficient Local SGD with Age-Based Worker Selection Feng Zhu Jingjing Zhang Xin Wang 50 1 0 31 Oct 2022
Fast-Convergent Federated Learning via Cyclic Aggregation Youngjoon Lee Sangwoo Park Joonhyuk Kang FedML 36 5 0 29 Oct 2022
GradSkip: Communication-Accelerated Local Gradient Methods with Better Computational Complexity A. Maranjyan M. Safaryan Peter Richtárik 34 13 0 28 Oct 2022
Local Model Reconstruction Attacks in Federated Learning and their Uses Ilias Driouich Chuan Xu Giovanni Neglia F. Giroire Eoin Thomas AAML FedML 36 2 0 28 Oct 2022
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout Chen Dun Mirian Hipolito Garcia C. Jermaine Dimitrios Dimitriadis Anastasios Kyrillidis 66 20 0 28 Oct 2022
Federated Learning with Intermediate Representation Regularization Ye Lin Tun Chu Myaet Thwal Yu Min Park Seong-Bae Park Choong Seon Hong FedML 26 6 0 28 Oct 2022
Federated Continual Learning to Detect Accounting Anomalies in Financial Auditing Marco Schreyer Hamed Hemati Damian Borth M. Vasarhelyi FedML 45 3 0 26 Oct 2022
Federated Fuzzy Neural Network with Evolutionary Rule Learning Leijie Zhang Ye-ling Shi Yu-Cheng Chang Chin-Teng Lin FedML 26 15 0 26 Oct 2022
Federated Learning Using Variance Reduced Stochastic Gradient for Probabilistically Activated Agents M. Rostami S. S. Kia FedML 36 8 0 25 Oct 2022
Latency Aware Semi-synchronous Client Selection and Model Aggregation for Wireless Federated Learning Liang Yu Xiang Sun Rana Albelaihi Chen Yi FedML 32 13 0 19 Oct 2022
Federated Learning with Privacy-Preserving Ensemble Attention Distillation Xuan Gong Liangchen Song Rishi Vedula Abhishek Sharma Meng Zheng ... Arun Innanje Terrence Chen Junsong Yuan David Doermann Ziyan Wu FedML 28 27 0 16 Oct 2022
FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated Learning Rui Ye Zhenyang Ni Chenxin Xu Jianyu Wang Siheng Chen Yonina C. Eldar FedML 27 31 0 14 Oct 2022
Aergia: Leveraging Heterogeneity in Federated Learning Systems Bart Cox L. Chen Jérémie Decouchant FedML 35 11 0 12 Oct 2022
FedBA: Non-IID Federated Learning Framework in UAV Networks Peichun Li Zhijun Liu Luyi Chang Jialiang Peng Yi Wu FedML 36 0 0 10 Oct 2022
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings Jean Ogier du Terrail Samy Ayed Edwige Cyffers Felix Grimberg Chaoyang He ... Sai Praneeth Karimireddy Marco Lorenzi Giovanni Neglia Marc Tommasi M. Andreux FedML 47 142 0 10 Oct 2022
FedGraph: an Aggregation Method from Graph Perspective Zhifang Deng Xiaohong Huang Dandan Li Xueguang Yuan FedML 30 0 0 06 Oct 2022
Federated Learning with Server Learning: Enhancing Performance for Non-IID Data V. Mai R. La Tao Zhang FedML OOD 40 7 0 06 Oct 2022
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning Donald Shenaj Eros Fani Marco Toldo Debora Caldarola A. Tavera Umberto Michieli Marco Ciccone Pietro Zanuttigh Barbara Caputo FedML 29 39 0 05 Oct 2022
ISFL: Federated Learning for Non-i.i.d. Data with Local Importance Sampling Zheqi Zhu Yuchen Shi Pingyi Fan Chenghui Peng Khaled B. Letaief FedML 25 8 0 05 Oct 2022
FedMT: Federated Learning with Mixed-type Labels Qiong Zhang Jing Peng Xin Zhang A. Talhouk Gang Niu Xiaoxiao Li FedML 59 0 0 05 Oct 2022
PersA-FL: Personalized Asynchronous Federated Learning Taha Toghani Soomin Lee César A. Uribe FedML 52 6 0 03 Oct 2022
Taming Fat-Tailed ("Heavier-Tailed'' with Potentially Infinite Variance) Noise in Federated Learning Haibo Yang Pei-Yuan Qiu Jia Liu FedML 32 12 0 03 Oct 2022
VFLens: Co-design the Modeling Process for Efficient Vertical Federated Learning via Visualization Y. Tian He Wang Laixin Xie Xiaojuan Ma Quan Li FedML 25 1 0 02 Oct 2022
Meta Knowledge Condensation for Federated Learning Ping Liu Xin Yu Qiufeng Wang DD FedML 30 28 0 29 Sep 2022
Label driven Knowledge Distillation for Federated Learning with non-IID Data Minh-Duong Nguyen Viet Quoc Pham D. Hoang Long Tran-Thanh Diep N. Nguyen W. Hwang 24 2 0 29 Sep 2022
FedVeca: Federated Vectorized Averaging on Non-IID Data with Adaptive Bi-directional Global Objective Ping Luo Jieren Cheng Zhenhao Liu N. Xiong Jie Wu FedML 35 1 0 28 Sep 2022
Semi-Synchronous Personalized Federated Learning over Mobile Edge Networks Chaoqun You Daquan Feng Kun Guo Howard H. Yang Tony Q.S. Quek 38 12 0 27 Sep 2022
On the Stability Analysis of Open Federated Learning Systems Youbang Sun H. Fernando Tianyi Chen Shahin Shahrampour FedML 29 1 0 25 Sep 2022
Lightweight Transformers for Human Activity Recognition on Mobile Devices Sannara Ek François Portet P. Lalanda 37 28 0 22 Sep 2022
FedFOR: Stateless Heterogeneous Federated Learning with First-Order Regularization Junjiao Tian James Smith Z. Kira 19 3 0 21 Sep 2022
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces Saeed Vahidian Mahdi Morafah Weijia Wang Vyacheslav Kungurtsev Chong Chen M. Shah Bill Lin FedML 56 45 0 21 Sep 2022
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks Chulin Xie Yunhui Long Pin-Yu Chen Qinbin Li Arash Nourian Sanmi Koyejo Bo Li FedML 48 13 0 08 Sep 2022
Federated Learning with Label Distribution Skew via Logits Calibration Jie M. Zhang Zhiqi Li Bo-wen Li Jianghe Xu Shuang Wu Shouhong Ding Chao Wu FedML 21 140 0 01 Sep 2022
Non-readily identifiable data collaboration analysis for multiple datasets including personal information A. Imakura T. Sakurai Yukihiko Okada Tomoya Fujii Teppei Sakamoto Hiroyuki Abe FedML 22 10 0 31 Aug 2022
Online Meta-Learning for Model Update Aggregation in Federated Learning for Click-Through Rate Prediction Xianghang Liu Bartlomiej Twardowski Tri Kurniawan Wijaya FedML 31 1 0 30 Aug 2022
Reducing Impacts of System Heterogeneity in Federated Learning using Weight Update Magnitudes Irene Wang 32 1 0 30 Aug 2022
FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs Taolin Zhang Chuan Chen Yaomin Chang Lin Shu Zibin Zheng FedML 31 14 0 29 Aug 2022
Exploring Semantic Attributes from A Foundation Model for Federated Learning of Disjoint Label Spaces Shitong Sun Chenyang Si Guile Wu S. Gong FedML 30 0 0 29 Aug 2022
Flexible Vertical Federated Learning with Heterogeneous Parties Timothy Castiglia Shiqiang Wang S. Patterson FedML 42 34 0 26 Aug 2022
On Differential Privacy for Federated Learning in Wireless Systems with Multiple Base Stations Nima Tavangaran Mingzhe Chen Zhaohui Yang J. M. B. D. Silva H. Vincent Poor FedML 28 4 0 25 Aug 2022
Federated Self-Supervised Contrastive Learning and Masked Autoencoder for Dermatological Disease Diagnosis Yawen Wu Dewen Zeng Zhepeng Wang Yi Sheng Lei Yang A. James Yiyu Shi Jingtong Hu 25 7 0 24 Aug 2022
FedMCSA: Personalized Federated Learning via Model Components Self-Attention Qianling Guo Yong Qi Saiyu Qi Di Wu Qian Li FedML 21 9 0 23 Aug 2022
Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network Jingcai Guo Song Guo Jie Zhang Ziming Liu FedML 34 15 0 21 Aug 2022
A Review of Federated Learning in Energy Systems Xu Cheng Chendan Li Xiufeng Liu 32 27 0 20 Aug 2022
Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion Duy Phuong Nguyen Sixing Yu J. P. Muñoz Ali Jannesari FedML 21 12 0 16 Aug 2022
On the Convergence of Multi-Server Federated Learning with Overlapping Area Zhe Qu Xingyu Li Jie Xu Bo Tang Zhuo Lu Yao-Hong Liu FedML 50 14 0 16 Aug 2022
HetVis: A Visual Analysis Approach for Identifying Data Heterogeneity in Horizontal Federated Learning Xumeng Wang Wei Chen Jiazhi Xia Zhen Wen Rongchen Zhu Tobias Schreck FedML 26 20 0 16 Aug 2022
Fast Heterogeneous Federated Learning with Hybrid Client Selection Guangyuan Shen D. Gao Duanxiao Song Libin Yang Xukai Zhou Shirui Pan W. Lou Fang Zhou FedML 45 12 0 10 Aug 2022