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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
Decentralized Federated Learning: Balancing Communication and Computing Costs Wei Liu Li Chen Wenyi Zhang FedML 71 113 0 26 Jul 2021
Aggregate or Not? Exploring Where to Privatize in DNN Based Federated Learning Under Different Non-IID Scenes Xin-Chun Li Le Gan De-Chuan Zhan Yunfeng Shao Bingshuai Li Shaoming Song OOD 70 9 0 26 Jul 2021
FedLab: A Flexible Federated Learning Framework Dun Zeng Siqi Liang Xiangjing Hu Hui Wang Zenglin Xu FedML 80 119 0 24 Jul 2021
Communication Efficiency in Federated Learning: Achievements and Challenges Osama Shahid Seyedamin Pouriyeh R. Parizi Quan Z. Sheng Gautam Srivastava Liang Zhao FedML 89 79 0 23 Jul 2021
Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning Naichen Shi Fan Lai Raed Al Kontar Mosharaf Chowdhury FedML 85 36 0 21 Jul 2021
Federated Learning using Smart Contracts on Blockchains, based on Reward Driven Approach Monik R Behera Sudhir Upadhyay S. Shetty FedML 37 14 0 19 Jul 2021
AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning Young Geun Kim Carole-Jean Wu 102 87 0 16 Jul 2021
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning Paul Pu Liang Yiwei Lyu Xiang Fan Zetian Wu Yun Cheng ... Peter Wu Michelle A. Lee Yuke Zhu Ruslan Salakhutdinov Louis-Philippe Morency VLM 111 171 0 15 Jul 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 277 422 0 14 Jul 2021
Federated Self-Training for Semi-Supervised Audio Recognition Vasileios Tsouvalas Aaqib Saeed T. Ozcelebi FedML 75 16 0 14 Jul 2021
IFedAvg: Interpretable Data-Interoperability for Federated Learning David Roschewitz Mary-Anne Hartley Luca Corinzia Martin Jaggi FedML 63 7 0 14 Jul 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 192 212 0 12 Jul 2021
Personalized Federated Learning over non-IID Data for Indoor Localization Peng Wu Tales Imbiriba Junha Park Sunwoo Kim Pau Closas FedML 71 28 0 09 Jul 2021
On Bridging Generic and Personalized Federated Learning for Image Classification Hong-You Chen Wei-Lun Chao FedML 101 21 0 02 Jul 2021
FedMix: Approximation of Mixup under Mean Augmented Federated Learning Tehrim Yoon Sumin Shin Sung Ju Hwang Eunho Yang FedML 82 172 0 01 Jul 2021
Local-Global Knowledge Distillation in Heterogeneous Federated Learning with Non-IID Data Dezhong Yao Wanning Pan Yutong Dai Yao Wan Xiaofeng Ding Hai Jin Zheng Xu Lichao Sun FedML 131 50 0 30 Jun 2021
Implicit Gradient Alignment in Distributed and Federated Learning Yatin Dandi Luis Barba Martin Jaggi FedML 131 35 0 25 Jun 2021
Federated Graph Classification over Non-IID Graphs Han Xie Jing Ma Li Xiong Carl Yang FedML 76 164 0 25 Jun 2021
Federated Noisy Client Learning Huazhu Fu Li Li Bo Han Chengzhong Xu Ling Shao FedML 101 27 0 24 Jun 2021
Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning Hua Huang Fanhua Shang Yuanyuan Liu Hongying Liu FedML 62 14 0 23 Jun 2021
Compositional federated learning: Applications in distributionally robust averaging and meta learning Feihu Huang Junyi Li FedML 71 15 0 21 Jun 2021
Federated Learning with Positive and Unlabeled Data Xinyang Lin Hanting Chen Yixing Xu Chao Xu Xiaolin Gui Yiping Deng Yunhe Wang FedML 46 20 0 21 Jun 2021
FedCM: Federated Learning with Client-level Momentum Jing Xu Sen Wang Liwei Wang Andrew Chi-Chih Yao FedML 92 104 0 21 Jun 2021
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning Prashant Khanduri Pranay Sharma Haibo Yang Min-Fong Hong Jia Liu K. Rajawat P. Varshney FedML 59 63 0 19 Jun 2021
Towards Heterogeneous Clients with Elastic Federated Learning Zichen Ma Yu Lu Zihan Lu Wenye Li Jinfeng Yi Shuguang Cui FedML 41 3 0 17 Jun 2021
Quantized Federated Learning under Transmission Delay and Outage Constraints Yanmeng Wang Yanqing Xu Qingjiang Shi Tsung-Hui Chang 81 86 0 17 Jun 2021
Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection Tuo Zhang Chaoyang He Tian-Shya Ma Lei Gao Mark Ma Salman Avestimehr FedML 99 117 0 15 Jun 2021
On Large-Cohort Training for Federated Learning Zachary B. Charles Zachary Garrett Zhouyuan Huo Sergei Shmulyian Virginia Smith FedML 77 114 0 15 Jun 2021
CFedAvg: Achieving Efficient Communication and Fast Convergence in Non-IID Federated Learning Haibo Yang Jia Liu Elizabeth S. Bentley FedML 40 20 0 14 Jun 2021
Federated Learning with Buffered Asynchronous Aggregation John Nguyen Kshitiz Malik Hongyuan Zhan Ashkan Yousefpour Michael G. Rabbat Mani Malek Dzmitry Huba FedML 95 312 0 11 Jun 2021
Differentially Private Federated Learning via Inexact ADMM Minseok Ryu Kibaek Kim FedML 68 15 0 11 Jun 2021
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning Liangqiong Qu Yuyin Zhou Paul Pu Liang Yingda Xia Feifei Wang Ehsan Adeli L. Fei-Fei D. Rubin FedML AI4CE 109 186 0 10 Jun 2021
Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling Chuizheng Meng Sirisha Rambhatla Yan Liu FedML 91 127 0 09 Jun 2021
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data Mi Luo Fei Chen Dapeng Hu Yifan Zhang Jian Liang Jiashi Feng FedML 106 344 0 09 Jun 2021
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing M. Khodak Renbo Tu Tian Li Liam Li Maria-Florina Balcan Virginia Smith Ameet Talwalkar FedML 105 78 0 08 Jun 2021
Fast Federated Learning in the Presence of Arbitrary Device Unavailability Xinran Gu Kaixuan Huang Jingzhao Zhang Longbo Huang FedML 82 101 0 08 Jun 2021
Preservation of the Global Knowledge by Not-True Distillation in Federated Learning Gihun Lee Minchan Jeong Yongjin Shin Sangmin Bae Se-Young Yun FedML 115 125 0 06 Jun 2021
FedNL: Making Newton-Type Methods Applicable to Federated Learning M. Safaryan Rustem Islamov Xun Qian Peter Richtárik FedML 89 80 0 05 Jun 2021
FedCCEA : A Practical Approach of Client Contribution Evaluation for Federated Learning S. K. Shyn Donghee Kim Kwangsu Kim FedML 84 23 0 04 Jun 2021
Local Adaptivity in Federated Learning: Convergence and Consistency Jianyu Wang Zheng Xu Zachary Garrett Zachary B. Charles Luyang Liu Gauri Joshi FedML 99 40 0 04 Jun 2021
FedBABU: Towards Enhanced Representation for Federated Image Classification Jaehoon Oh Sangmook Kim Se-Young Yun FedML 126 204 0 04 Jun 2021
FedHealth 2: Weighted Federated Transfer Learning via Batch Normalization for Personalized Healthcare Yiqiang Chen Wang Lu Jindong Wang Xin Qin OOD FedML 84 14 0 02 Jun 2021
QLSD: Quantised Langevin stochastic dynamics for Bayesian federated learning Maxime Vono Vincent Plassier Alain Durmus Aymeric Dieuleveut Eric Moulines FedML 93 36 0 01 Jun 2021
Federated Learning for Short-term Residential Load Forecasting Christopher Briggs Zhong Fan Péter András 44 53 0 27 May 2021
Concept drift detection and adaptation for federated and continual learning F. Casado Dylan Lema Marcos F. Criado R. Iglesias Carlos V. Regueiro S. Barro FedML 69 64 0 27 May 2021
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale Fan Lai Yinwei Dai Sanjay Sri Vallabh Singapuram Jiachen Liu Xiangfeng Zhu H. Madhyastha Mosharaf Chowdhury FedML 109 205 0 24 May 2021
Data-Free Knowledge Distillation for Heterogeneous Federated Learning Zhuangdi Zhu Junyuan Hong Jiayu Zhou FedML 90 667 0 20 May 2021
Prototype Guided Federated Learning of Visual Feature Representations Umberto Michieli Mete Ozay FedML 92 38 0 19 May 2021
EasyFL: A Low-code Federated Learning Platform For Dummies Weiming Zhuang Xin Gan Yonggang Wen Shuai Zhang FedML 78 48 0 17 May 2021
Node Selection Toward Faster Convergence for Federated Learning on Non-IID Data Hongda Wu Ping Wang FedML 98 143 0 14 May 2021