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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
Federated Learning Under Intermittent Client Availability and Time-Varying Communication Constraints Mónica Ribero H. Vikalo G. Veciana FedML 76 46 0 13 May 2022
Tighter Regret Analysis and Optimization of Online Federated Learning Dohyeok Kwon Jonghwan Park Songnam Hong 101 13 0 13 May 2022
Layer-wised Model Aggregation for Personalized Federated Learning Xiaosong Ma Jie Zhang Song Guo Wenchao Xu FedML 83 183 0 09 May 2022
Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Review Leon Witt Mathis Heyer Kentaroh Toyoda Wojciech Samek Dan Li FedML 114 48 0 07 May 2022
Uncertainty Minimization for Personalized Federated Semi-Supervised Learning Yanhang Shi Siguang Chen Haijun Zhang FedML 58 9 0 05 May 2022
FedNest: Federated Bilevel, Minimax, and Compositional Optimization Davoud Ataee Tarzanagh Mingchen Li Christos Thrampoulidis Samet Oymak FedML 110 75 0 04 May 2022
Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction Junyi Li Feihu Huang Heng-Chiao Huang FedML 87 27 0 03 May 2022
MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning Dongnan Liu Mariano Cabezas Dongang Wang Zihao Tang Lei Bai ... Fernando Calamante Michael Barnett Wanli Ouyang Weidong (Tom) Cai Chenyu Wang FedML 75 4 0 03 May 2022
FedGiA: An Efficient Hybrid Algorithm for Federated Learning Shenglong Zhou Geoffrey Ye Li FedML 90 17 0 03 May 2022
Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration Henna Kokkonen Lauri Lovén Naser Hossein Motlagh Abhishek Kumar Juha Partala ... M. Bennis Sasu Tarkoma Schahram Dustdar Susanna Pirttikangas J. Riekki 99 27 0 03 May 2022
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning Sangmook Kim Wonyoung Shin Soohyuk Jang Hwanjun Song Se-Young Yun 75 2 0 03 May 2022
Combined Learning of Neural Network Weights for Privacy in Collaborative Tasks Aline Ioste A. Durham Marcelo Finger FedML 38 0 0 30 Apr 2022
FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated Distillation Xinyi Shang Yang Lu Y. Cheung Hanzi Wang FedML 92 35 0 30 Apr 2022
On the Convergence of Momentum-Based Algorithms for Federated Bilevel Optimization Problems Hongchang Gao FedML 83 1 0 28 Apr 2022
AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation Farshid Varno Marzie Saghayi Laya Rafiee Sharut Gupta Stan Matwin Mohammad Havaei FedML 146 31 0 27 Apr 2022
FedShuffle: Recipes for Better Use of Local Work in Federated Learning Samuel Horváth Maziar Sanjabi Lin Xiao Peter Richtárik Michael G. Rabbat FedML 88 21 0 27 Apr 2022
Understanding A Class of Decentralized and Federated Optimization Algorithms: A Multi-Rate Feedback Control Perspective Xinwei Zhang Mingyi Hong N. Elia FedML 73 3 0 27 Apr 2022
One-shot Federated Learning without Server-side Training Shangchao Su Bin Li Xiangyang Xue FedML 61 28 0 26 Apr 2022
Federated Geometric Monte Carlo Clustering to Counter Non-IID Datasets Federico Lucchetti Jérémie Decouchant Maria Fernandes L. Chen Marcus Volp FedML 53 0 0 23 Apr 2022
Federated Contrastive Learning for Volumetric Medical Image Segmentation Yawen Wu Dewen Zeng Zhepeng Wang Yiyu Shi Jingtong Hu FedML 87 59 0 23 Apr 2022
Self-Aware Personalized Federated Learning Huili Chen Jie Ding Eric W. Tramel Shuang Wu Anit Kumar Sahu Salman Avestimehr Tao Zhang FedML 87 27 0 17 Apr 2022
IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation Meirui Jiang Hongzheng Yang Chen Cheng Qianming Dou 102 33 0 16 Apr 2022
A Differentially Private Probabilistic Framework for Modeling the Variability Across Federated Datasets of Heterogeneous Multi-View Observations Irene Balelli Santiago Silva Marco Lorenzi FedML 83 5 0 15 Apr 2022
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Quyang Pan Junbo Zhang Zeju Li Qing Liu FedML 93 25 0 14 Apr 2022
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning Zhen Wang Weirui Kuang Yuexiang Xie Liuyi Yao Yaliang Li Bolin Ding Jingren Zhou FedML 120 83 0 12 Apr 2022
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity Yuexiang Xie Zhen Wang Dawei Gao Daoyuan Chen Liuyi Yao Weirui Kuang Yaliang Li Bolin Ding Jingren Zhou FedML 128 90 0 11 Apr 2022
FedCorr: Multi-Stage Federated Learning for Label Noise Correction Jingyi Xu Zihan Chen Tony Q.S. Quek Kai Fong Ernest Chong FedML 65 89 0 10 Apr 2022
Divergence-aware Federated Self-Supervised Learning Weiming Zhuang Yonggang Wen Shuai Zhang FedML 99 100 0 09 Apr 2022
Global Update Guided Federated Learning Qilong Wu Lin Liu Shibei Xue FedML 72 3 0 08 Apr 2022
CD $^2$ -pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning Yiqing Shen Yuyin Zhou Lequan Yu OOD 121 60 0 08 Apr 2022
FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity Yonghai Gong Yichuan Li N. Freris FedML 67 49 0 07 Apr 2022
Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients Nan Lu Zhao Wang Xiaoxiao Li Gang Niu Qianming Dou Masashi Sugiyama FedML 82 40 0 07 Apr 2022
FedCos: A Scene-adaptive Federated Optimization Enhancement for Performance Improvement Hao Zhang Tingting Wu Siyao Cheng Jie Liu FedML 57 12 0 07 Apr 2022
Federated Reinforcement Learning with Environment Heterogeneity Hao Jin Yang Peng Wenhao Yang Shusen Wang Zhihua Zhang 102 78 0 06 Apr 2022
Federated Cross Learning for Medical Image Segmentation Xuanang Xu H. Deng Tianyi Chen Tianshu Kuang J. C. Barber Daeseung Kim J. Gateno J. Xia Pingkun Yan FedML OOD 84 19 0 05 Apr 2022
SAFARI: Sparsity enabled Federated Learning with Limited and Unreliable Communications Yuzhu Mao Zihao Zhao Meilin Yang Le Liang Yang Liu Wenbo Ding Tian-Shing Lan Xiaoping Zhang FedML 75 22 0 05 Apr 2022
CDKT-FL: Cross-Device Knowledge Transfer using Proxy Dataset in Federated Learning Huy Q. Le Minh N. H. Nguyen Shashi Raj Pandey Chaoning Zhang Choong Seon Hong FedML 80 10 0 04 Apr 2022
Federated Learning Framework Coping with Hierarchical Heterogeneity in Cooperative ITS Rui Song Liguo Zhou Venkatnarayanan Lakshminarasimhan Andreas Festag Alois Knoll 104 24 0 01 Apr 2022
Scaling Language Model Size in Cross-Device Federated Learning Jae Hun Ro Theresa Breiner Lara McConnaughey Mingqing Chen A. Suresh Shankar Kumar Rajiv Mathews FedML 61 26 0 31 Mar 2022
Towards Collaborative Intelligence: Routability Estimation based on Decentralized Private Data Jingyu Pan Chen-Chia Chang Zhiyao Xie Ang Li Minxue Tang Tunhou Zhang Jiangkun Hu Yiran Chen FedML 31 8 0 30 Mar 2022
SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks Won Joon Yun Yunseok Kwak Hankyul Baek Soyi Jung Mingyue Ji M. Bennis Jihong Park Joongheon Kim 71 17 0 26 Mar 2022
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning Xiaoxiao Liang Yiqun Lin Huazhu Fu Lei Zhu Xuelong Li FedML 76 52 0 26 Mar 2022
Multi-Edge Server-Assisted Dynamic Federated Learning with an Optimized Floating Aggregation Point Bhargav Ganguly Seyyedali Hosseinalipour Kwang Taik Kim Christopher G. Brinton Vaneet Aggarwal David J. Love M. Chiang FedML 86 18 0 26 Mar 2022
Asynchronous Collaborative Learning Across Data Silos Tiffany Tuor J. Lockhart Daniele Magazzeni FedML 64 3 0 23 Mar 2022
Adaptive Aggregation For Federated Learning K.R. Jayaram Vinod Muthusamy Gegi Thomas Ashish Verma Mark Purcell FedML 93 18 0 23 Mar 2022
FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction Liang Gao Huazhu Fu Li Li Yingwen Chen Minghua Xu Chengzhong Xu FedML 117 257 0 22 Mar 2022
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation An Xu Wenqi Li Pengfei Guo Dong Yang H. Roth Ali Hatamizadeh Can Zhao Daguang Xu Heng-Chiao Huang Ziyue Xu FedML 86 53 0 18 Mar 2022
Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization Junyuan Hong Haotao Wang Zhangyang Wang Jiayu Zhou FedML 61 57 0 18 Mar 2022
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning Lin Zhang Li Shen Liang Ding Dacheng Tao Ling-Yu Duan FedML 90 267 0 17 Mar 2022
SemiPFL: Personalized Semi-Supervised Federated Learning Framework for Edge Intelligence Arvin Tashakori Wenwen Zhang Z. Jane Wang Peyman Servati 78 19 0 15 Mar 2022