v1v2v3v4v5 (latest)

Federated Optimization in Heterogeneous Networks

14 December 2018

Papers citing "Federated Optimization in Heterogeneous Networks"

50 / 1,027 papers shown

Title
Understanding and Improving Model Averaging in Federated Learning on Heterogeneous Data Tailin Zhou Zehong Lin Jinchao Zhang Danny H. K. Tsang MoMe FedML 94 12 0 13 May 2023
Collaborative Chinese Text Recognition with Personalized Federated Learning Shangchao Su Haiyang Yu Bin Li Xiangyang Xue FedML 60 0 0 09 May 2023
Flame: Simplifying Topology Extension in Federated Learning Harshit Daga Jae-Kwang Shin D. Garg Ada Gavrilovska Myungjin Lee Ramana Rao Kompella AI4CE 78 11 0 09 May 2023
Federated Ensemble-Directed Offline Reinforcement Learning Desik Rengarajan N. Ragothaman D. Kalathil S. Shakkottai OffRL 93 1 0 04 May 2023
FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization J. Carrillo Nicolas García Trillos Sixu Li Yuhua Zhu FedML 60 19 0 04 May 2023
Hierarchical and Decentralised Federated Learning Omer F. Rana Theodoros Spyridopoulos Nathaniel Hudson Matt Baughman Kyle Chard Ian Foster Aftab Khan 52 13 0 28 Apr 2023
Federated Learning for Predictive Maintenance and Quality Inspection in Industrial Applications Viktorija Pruckovskaja Axel Weissenfeld Clemens Heistracher Anita Graser Julia Kafka P. Leputsch Daniel Schall J. Kemnitz FedML 53 12 0 21 Apr 2023
Federated Compositional Deep AUC Maximization Xinwen Zhang Yihang Zhang Tianbao Yang Richard Souvenir Hongchang Gao FedML 98 8 0 20 Apr 2023
Fed-MIWAE: Federated Imputation of Incomplete Data via Deep Generative Models Irene Balelli Aude Sportisse Francesco Cremonesi Pierre-Alexandre Mattei Marco Lorenzi 61 3 0 17 Apr 2023
Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation Bing Luo Yutong Feng Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 61 10 0 17 Apr 2023
Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognition Liangqi Yuan Yunsheng Ma Lu Su Ziran Wang FedML 101 26 0 14 Apr 2023
Federated and distributed learning applications for electronic health records and structured medical data: A scoping review Siqi Li Pinyan Liu G. G. Nascimento Xinru Wang F. Leite ... Daniel Ting Hamed Haddadi M. Ong M. A. Peres Nan Liu 80 11 0 14 Apr 2023
HPN: Personalized Federated Hyperparameter Optimization Anda Cheng Zhen Wang Yaliang Li Jianwei Cheng 74 1 0 11 Apr 2023
Federated Learning with Classifier Shift for Class Imbalance Yunheng Shen Haoxiang Wang Hairong Lv FedML 106 5 0 11 Apr 2023
Asynchronous Federated Continual Learning Donald Shenaj Marco Toldo Alberto Rigon Pietro Zanuttigh FedML CLL 82 35 0 07 Apr 2023
Learning Cautiously in Federated Learning with Noisy and Heterogeneous Clients Chen Wu Zexi Li Fang Wang Chao Wu FedML 55 14 0 06 Apr 2023
Learning Federated Visual Prompt in Null Space for MRI Reconstruction Chun-Mei Feng Bangjun Li Xinxing Xu Yong Liu Huazhu Fu W. Zuo FedML 99 47 0 28 Mar 2023
Personalized Federated Learning on Long-Tailed Data via Adversarial Feature Augmentation Yang Lu Pinxin Qian Gang Huang Hanzi Wang 84 11 0 27 Mar 2023
No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier Zexi Li Xinyi Shang Rui He Tao R. Lin Chao Wu FedML 120 55 0 17 Mar 2023
TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation Jie M. Zhang Chen Chen Weiming Zhuang Lingjuan Lv CLL FedML 82 54 0 13 Mar 2023
FedML Parrot: A Scalable Federated Learning System via Heterogeneity-aware Scheduling on Sequential and Hierarchical Training Zhenheng Tang Xiaowen Chu Ryan Yide Ran Sunwoo Lee Shaoshuai Shi Yonggang Zhang Yuxin Wang Alex Liang A. Avestimehr Chaoyang He FedML 70 10 0 03 Mar 2023
FLAG: Fast Label-Adaptive Aggregation for Multi-label Classification in Federated Learning Shih-Fang Chang Benny Wei-Yun Hsu Tien-Yu Chang Vincent S. Tseng 61 2 0 27 Feb 2023
Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning Van Tuan Tran Huy Hieu Pham Kok-Seng Wong FedML 87 8 0 22 Feb 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 156 49 0 21 Feb 2023
CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization Nang Hung Nguyen Duc Long Nguyen Trong Bang Nguyen T. Nguyen H. Pham Truong Thao Nguyen Phi Le Nguyen FedML 115 8 0 21 Feb 2023
A Federated Approach for Hate Speech Detection Jay Gala Deep Gandhi Jash Mehta Zeerak Talat 51 4 0 18 Feb 2023
Bayesian Federated Inference for estimating Statistical Models based on Non-shared Multicenter Data sets Marianne A Jonker H. Pazira Anthony C. C. Coolen FedML 95 5 0 15 Feb 2023
Revisiting Weighted Aggregation in Federated Learning with Neural Networks Zexi Li Tao R. Lin Xinyi Shang Chao-Xiang Wu FedML 102 65 0 14 Feb 2023
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation Peiyao Xiao Kaiyi Ji FedML 74 11 0 09 Feb 2023
Improving the Model Consistency of Decentralized Federated Learning Yi Shi Li Shen Kang Wei Yan Sun Bo Yuan Xueqian Wang Dacheng Tao FedML 114 52 0 08 Feb 2023
On the Convergence of Federated Averaging with Cyclic Client Participation Yae Jee Cho Pranay Sharma Gauri Joshi Zheng Xu Satyen Kale Tong Zhang FedML 106 33 0 06 Feb 2023
CyclicFL: A Cyclic Model Pre-Training Approach to Efficient Federated Learning Peng Zhang Yingbo Zhou Ming Hu Xin Fu Xian Wei Mingsong Chen FedML 54 1 0 28 Jan 2023
Personalised Federated Learning On Heterogeneous Feature Spaces A. Rakotomamonjy Maxime Vono H. M. Ruiz L. Ralaivola FedML 75 8 0 26 Jan 2023
FedExP: Speeding Up Federated Averaging via Extrapolation Divyansh Jhunjhunwala Shiqiang Wang Gauri Joshi FedML 69 61 0 23 Jan 2023
Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data Shen Chen Guodong Long Tao Shen Jing Jiang AI4TS 115 38 0 22 Jan 2023
Federated Automatic Differentiation Keith Rush Zachary B. Charles Zachary Garrett FedML 89 1 0 18 Jan 2023
Robust Knowledge Adaptation for Federated Unsupervised Person ReID Jianfeng Weng Kun Hu Tingting Yao Jingya Wang Zhiyong Wang FedML 56 3 0 18 Jan 2023
FedCliP: Federated Learning with Client Pruning Beibei Li Zerui Shao Ao Liu Peiran Wang FedML 80 1 0 17 Jan 2023
Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks Xiaofan Yu L. Cherkasova Hars Vardhan Quanling Zhao Emily Ekaireb Xiyuan Zhang A. Mazumdar T. Rosing 75 27 0 17 Jan 2023
Graph Learning Across Data Silos Xiang Zhang Qiao Wang 212 1 0 17 Jan 2023
Contrast with Major Classifier Vectors for Federated Medical Relation Extraction with Heterogeneous Label Distribution Chunhui Du Hao He Yaohui Jin 43 2 0 13 Jan 2023
Federated Learning under Heterogeneous and Correlated Client Availability Angelo Rodio Francescomaria Faticanti Othmane Marfoq Giovanni Neglia Emilio Leonardi FedML 84 27 0 11 Jan 2023
Why Batch Normalization Damage Federated Learning on Non-IID Data? Yanmeng Wang Qingjiang Shi Tsung-Hui Chang FedML 85 36 0 08 Jan 2023
Randomized Block-Coordinate Optimistic Gradient Algorithms for Root-Finding Problems Quoc Tran-Dinh Yang Luo 192 8 0 08 Jan 2023
Privacy and Efficiency of Communications in Federated Split Learning Zongshun Zhang Andrea Pinto Valeria Turina Flavio Esposito I. Matta FedML 93 35 0 04 Jan 2023
Federated Learning for Data Streams Othmane Marfoq Giovanni Neglia Laetitia Kameni Richard Vidal FedML 82 12 0 04 Jan 2023
Decentralized Gradient Tracking with Local Steps Yue Liu Tao R. Lin Anastasia Koloskova Sebastian U. Stich 105 41 0 03 Jan 2023
Recent Advances on Federated Learning: A Systematic Survey Bingyan Liu Nuoyan Lv Yuanchun Guo Yawen Li FedML 118 89 0 03 Jan 2023
Differentially Private Federated Clustering over Non-IID Data Yiwei Li Shuai Wang Chong-Yung Chi Tony Q.S. Quek FedML 71 13 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 113 33 0 01 Jan 2023