Federated Optimization in Heterogeneous Networks

14 December 2018

Papers citing "Federated Optimization in Heterogeneous Networks"

50 / 775 papers shown

Title
Graph Learning Across Data Silos Xiang Zhang Qiao Wang 24 1 0 17 Jan 2023
Federated Transfer-Ordered-Personalized Learning for Driver Monitoring Application Liangqi Yuan Lu Su Ziran Wang 36 19 0 12 Jan 2023
Privacy and Efficiency of Communications in Federated Split Learning Zongshun Zhang Andrea Pinto Valeria Turina Flavio Esposito I. Matta FedML 38 32 0 04 Jan 2023
Federated Learning for Data Streams Othmane Marfoq Giovanni Neglia Laetitia Kameni Richard Vidal FedML 31 12 0 04 Jan 2023
Decentralized Gradient Tracking with Local Steps Yue Liu Tao R. Lin Anastasia Koloskova Sebastian U. Stich 29 38 0 03 Jan 2023
Differentially Private Federated Clustering over Non-IID Data Yiwei Li Shuai Wang Chong-Yung Chi Tony Q.S. Quek FedML 33 12 0 03 Jan 2023
FedICT: Federated Multi-task Distillation for Multi-access Edge Computing Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Quyang Pan Xue Jiang Bo Gao 37 31 0 01 Jan 2023
When Do Curricula Work in Federated Learning? Saeed Vahidian Sreevatsank Kadaveru Woo-Ram Baek Weijia Wang Vyacheslav Kungurtsev Chong Chen M. Shah Bill Lin FedML 40 11 0 24 Dec 2022
Graph Federated Learning with Hidden Representation Sharing Shuang Wu Mingxuan Zhang Yuantong Li Carl Yang Pan Li FedML 27 1 0 23 Dec 2022
FedTADBench: Federated Time-Series Anomaly Detection Benchmark Fanxing Liu Cheng Zeng Le Zhang Yingjie Zhou Qing Mu Yanru Zhang Ling Zhang Ce Zhu OOD FedML AI4TS 31 8 0 19 Dec 2022
Toward Data Heterogeneity of Federated Learning Yuchuan Huang Chen Hu FedML 30 1 0 17 Dec 2022
Modeling Global Distribution for Federated Learning with Label Distribution Skew Tao Sheng Cheng Shen Yuan Liu Yeyu Ou Zhe Qu Jianxin Wang FedML 27 7 0 17 Dec 2022
Addressing Data Heterogeneity in Decentralized Learning via Topological Pre-processing Waqwoya Abebe Ali Jannesari 25 0 0 16 Dec 2022
FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks Weilong Dong Xinwei Wu Junzhuo Li Shuangzhi Wu Chao Bian Deyi Xiong FedML 34 6 0 16 Dec 2022
SplitGP: Achieving Both Generalization and Personalization in Federated Learning Dong-Jun Han Do-Yeon Kim Minseok Choi Christopher G. Brinton Jaekyun Moon FedML 26 31 0 16 Dec 2022
Robust Learning Protocol for Federated Tumor Segmentation Challenge Ambrish Rawat Giulio Zizzo S. Kadhe J. Epperlein S. Braghin FedML 34 3 0 16 Dec 2022
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation Ziqing Fan Yanfeng Wang Jiangchao Yao Lingjuan Lyu Ya Zhang Qinghua Tian FedML 21 20 0 14 Dec 2022
ResFed: Communication Efficient Federated Learning by Transmitting Deep Compressed Residuals Rui Song Liguo Zhou Lingjuan Lyu Andreas Festag Alois Knoll FedML 32 5 0 11 Dec 2022
Federated Learning for Inference at Anytime and Anywhere Zicheng Liu Da Li Javier Fernandez-Marques Stefanos Laskaridis Yan Gao L. Dudziak Stan Z. Li S. Hu Timothy M. Hospedales FedML 32 5 0 08 Dec 2022
Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning Mingyuan Fan Cen Chen Chengyu Wang Ximeng Liu Wenmeng Zhou Jun Huang AAML FedML 34 0 0 05 Dec 2022
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge Yaxin Luopan Rui Han Qinglong Zhang Chi Harold Liu Guoren Wang FedML 26 18 0 04 Dec 2022
GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning Shiqi He Qifan Yan Feijie Wu Lanjun Wang Mathias Lécuyer Ivan Beschastnikh FedML 42 7 0 03 Dec 2022
Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework Shuai Wang Yanqing Xu Zihan Wang Tsung-Hui Chang Tony Q.S. Quek Defeng Sun FedML 35 9 0 03 Dec 2022
Olive Branch Learning: A Topology-Aware Federated Learning Framework for Space-Air-Ground Integrated Network Qingze Fang Zhiwei Zhai Shuai Yu Qiong Wu Xiaowen Gong Xu Chen 36 20 0 02 Dec 2022
Generative Data Augmentation for Non-IID Problem in Decentralized Clinical Machine Learning Zirui Wang Shaoming Duan Chengyue Wu Wenhao Lin Xin-Xiang Zha Peiyi Han Chuanyi Liu MedIm 19 4 0 02 Dec 2022
FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient Federated Learning Young Geun Kim Carole-Jean Wu FedML 22 5 0 30 Nov 2022
Decentralized Learning with Multi-Headed Distillation A. Zhmoginov Mark Sandler Nolan Miller Gus Kristiansen Max Vladymyrov FedML 40 4 0 28 Nov 2022
Federated Learning for 5G Base Station Traffic Forecasting V. Perifanis Nikolaos Pavlidis R. Koutsiamanis P. Efraimidis AI4TS 49 41 0 28 Nov 2022
FedGS: Federated Graph-based Sampling with Arbitrary Client Availability Zihan Wang Xiaoliang Fan Jianzhong Qi Haibing Jin Peizhen Yang Siqi Shen Cheng-i Wang FedML 34 13 0 25 Nov 2022
Fed-TDA: Federated Tabular Data Augmentation on Non-IID Data Shaoming Duan Chuanyi Liu Peiyi Han Tianyu He Yifeng Xu Qiyuan Deng FedML 33 3 0 22 Nov 2022
Scalable Collaborative Learning via Representation Sharing Frédéric Berdoz Abhishek Singh Martin Jaggi Ramesh Raskar FedML 27 3 0 20 Nov 2022
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics Renjie Pi Weizhong Zhang Yueqi Xie Jiahui Gao Xiaoyu Wang Sunghun Kim Qifeng Chen DD 39 26 0 20 Nov 2022
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine A. Chaddad Qizong Lu Jiali Li Y. Katib R. Kateb C. Tanougast Ahmed Bouridane Ahmed Abdulkadir OOD 24 38 0 17 Nov 2022
Dual Class-Aware Contrastive Federated Semi-Supervised Learning Qianling Guo Yong Qi Saiyu Qi Di Wu FedML 29 5 0 16 Nov 2022
Bayesian Federated Neural Matching that Completes Full Information Peng Xiao Samuel Cheng FedML 32 2 0 15 Nov 2022
Personalized Federated Learning with Multi-branch Architecture Junki Mori T. Yoshiyama Ryo Furukawa Isamu Teranishi FedML 31 2 0 15 Nov 2022
Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning Shangchao Su Min Yang Bin Li Xiangyang Xue VLM FedML 38 18 0 15 Nov 2022
Universal EHR Federated Learning Framework Junu Kim Kyunghoon Hur Seongjun Yang Edward Choi FedML 21 2 0 14 Nov 2022
More Generalized and Personalized Unsupervised Representation Learning In A Distributed System Yue Yang Jingwei Sun Ang Li H. Li Yiran Chen OOD 31 0 0 11 Nov 2022
Robust Smart Home Face Recognition under Starving Federated Data Jaechul Roh Yajun Fang FedML CVBM AAML 23 0 0 10 Nov 2022
Resource-Aware Heterogeneous Federated Learning using Neural Architecture Search Sixing Yu J. P. Muñoz Ali Jannesari FedML 36 0 0 09 Nov 2022
Clustered Federated Learning based on Nonconvex Pairwise Fusion Xue Yu Ziyi Liu Wu Wang Yifan Sun FedML 40 7 0 08 Nov 2022
Enhancing Efficiency in Multidevice Federated Learning through Data Selection Fan Mo Mohammad Malekzadeh S. Chatterjee F. Kawsar Akhil Mathur FedML 35 2 0 08 Nov 2022
Over-The-Air Clustered Wireless Federated Learning Ayush Madhan-Sohini Divin Dominic Nazreen Shah Ranjitha Prasad 29 2 0 07 Nov 2022
HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics in Industrial Metaverse Shenglai Zeng Zonghang Li Hongfang Yu Zhihao Zhang Long Luo Bo-wen Li Dusit Niyato 39 42 0 07 Nov 2022
Fair and Efficient Distributed Edge Learning with Hybrid Multipath TCP Shiva Raj Pokhrel Jinho Choi A. Walid 30 6 0 03 Nov 2022
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