Papers citing 'Federated Learning with Matched Averaging'

Title
Auto-weighted Robust Federated Learning with Corrupted Data SourcesACM Transactions on Intelligent Systems and Technology (ACM TIST), 2021 Shenghui Li Edith C.H. Ngai Fanghua Ye Thiemo Voigt FedML 112 34 0 14 Jan 2021
Fairness and Accuracy in Federated Learning Wei Huang Tianrui Li Dexian Wang Shengdong Du Junbo Zhang FedML 123 58 0 18 Dec 2020
More Industry-friendly: Federated Learning with High Efficient Design Dingwei Li Qinglong Chang Lixue Pang Yanfang Zhang Xudong Sun Jikun Ding Liang Zhang FedML 55 1 0 16 Dec 2020
Probabilistic Federated Learning of Neural Networks Incorporated with Global Posterior Information Peng Xiao Samuel Cheng FedML 113 1 0 06 Dec 2020
Robust Federated Learning with Noisy LabelsIEEE Intelligent Systems (IEEE Intell. Syst.), 2020 Seunghan Yang Hyoungseob Park Junyoung Byun Changick Kim FedML NoLa 123 92 0 03 Dec 2020
A Systematic Literature Review on Federated Learning: From A Model Quality Perspective Yi Liu Li Zhang Ning Ge Guanghao Li FedML 143 29 0 01 Dec 2020
LINDT: Tackling Negative Federated Learning with Local Adaptation Hong Lin Lidan Shou Ke Chen Gang Chen Sai Wu FedML 78 0 0 23 Nov 2020
FedEval: A Holistic Evaluation Framework for Federated Learning Di Chai Leye Wang Liu Yang Junxue Zhang Kai Chen Qian Yang FedML 138 15 0 19 Nov 2020
Federated Multi-Mini-Batch: An Efficient Training Approach to Federated Learning in Non-IID Environments Reza Nasirigerdeh Mohammad Bakhtiari Reihaneh Torkzadehmahani Amirhossein Bayat M. List David B. Blumenthal Jan Baumbach FedML 124 9 0 13 Nov 2020
Real-Time Decentralized knowledge Transfer at the Edge Orpaz Goldstein Mohammad Kachuee Dereck Shiell Majid Sarrafzadeh 105 1 0 11 Nov 2020
Hierarchical Federated Learning through LAN-WAN Orchestration Jinliang Yuan Mengwei Xu Xiao Ma Ao Zhou Xuanzhe Liu Shangguang Wang FedML 87 39 0 22 Oct 2020
Edge Bias in Federated Learning and its Solution by Buffered Knowledge Distillation Sang-ho Lee Kiyoon Yoo Nojun Kwak FedML 160 2 0 20 Oct 2020
A Federated Learning Approach to Anomaly Detection in Smart Buildings Raed Abdel Sater A. Ben Hamza 130 140 0 20 Oct 2020
Federated Unsupervised Representation LearningFrontiers of Information Technology & Electronic Engineering (FITEE), 2020 Tai-wei Chang Kun Kuang Zhaoyang You Tao Shen Jun Xiao Yin Zhang Chao-Xiang Wu Yueting Zhuang Xiaolin Li FedML 160 156 0 18 Oct 2020
Layer-wise Characterization of Latent Information Leakage in Federated Learning Fan Mo Anastasia Borovykh Mohammad Malekzadeh Hamed Haddadi Soteris Demetriou FedML 111 34 0 17 Oct 2020
Towards Bidirectional Protection in Federated Learning Lun Wang Qi Pang Shuai Wang Basel Alomair FedML 153 3 0 02 Oct 2020
Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated LearningInternational Conference on Information and Knowledge Management (CIKM), 2020 Yao Zhou Jun Wu Haixun Wang Jingrui He AAML FedML 159 31 0 18 Sep 2020
FedSmart: An Auto Updating Federated Learning Optimization Mechanism Anxun He Jianzong Wang Zhangcheng Huang Jing Xiao FedML 84 10 0 16 Sep 2020
FedBE: Making Bayesian Model Ensemble Applicable to Federated LearningInternational Conference on Learning Representations (ICLR), 2020 Hong-You Chen Wei-Lun Chao FedML 201 304 0 04 Sep 2020
Multiple Classification with Split Learning Jongwon Kim Sungho Shin Yeonguk Yu Junseok Lee Kyoobin Lee FedML 165 14 0 22 Aug 2020
FLBench: A Benchmark Suite for Federated Learning Yuan Liang Yange Guo Yanxia Gong Chunjie Luo Jianfeng Zhan Yunyou Huang FedML 123 11 0 17 Aug 2020
Heterogeneous Federated Learning Fuxun Yu Weishan Zhang Zhuwei Qin Zirui Xu Di Wang Chenchen Liu Zhi Tian Xiang Chen FedML 102 24 0 15 Aug 2020
WAFFLe: Weight Anonymized Factorization for Federated LearningIEEE Access (IEEE Access), 2020 Weituo Hao Nikhil Mehta Kevin J. Liang Pengyu Cheng Mostafa El-Khamy Lawrence Carin FedML 129 15 0 13 Aug 2020
Distantly Supervised Relation Extraction in Federated SettingsConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 Dianbo Sui Yubo Chen Kang Liu Jun Zhao FedML 145 11 0 12 Aug 2020
Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge Chaoyang He M. Annavaram A. Avestimehr FedML 179 23 0 28 Jul 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 412 634 0 27 Jul 2020
Evaluation of Federated Learning in Phishing Email DetectionItalian National Conference on Sensors (INS), 2020 Chandra Thapa Jun Tang A. Abuadbba Yansong Gao S. Çamtepe Surya Nepal Mahathir Almashor Yifeng Zheng FedML 137 30 0 27 Jul 2020
Prioritized Multi-Criteria Federated LearningIntelligenza Artificiale (IA), 2020 Vito Walter Anelli Yashar Deldjoo Tommaso Di Noia Antonio Ferrara FedML 74 10 0 17 Jul 2020
Tackling the Objective Inconsistency Problem in Heterogeneous Federated OptimizationNeural Information Processing Systems (NeurIPS), 2020 Jianyu Wang Qinghua Liu Hao Liang Gauri Joshi H. Vincent Poor MoMe FedML 316 1,604 0 15 Jul 2020
Attack of the Tails: Yes, You Really Can Backdoor Federated LearningNeural Information Processing Systems (NeurIPS), 2020 Hongyi Wang Kartik K. Sreenivasan Shashank Rajput Harit Vishwakarma Saurabh Agarwal Jy-yong Sohn Kangwook Lee Dimitris Papailiopoulos FedML 183 696 0 09 Jul 2020
Personalized Cross-Silo Federated Learning on Non-IID DataAAAI Conference on Artificial Intelligence (AAAI), 2020 Yutao Huang Lingyang Chu Zirui Zhou Lanjun Wang Jiangchuan Liu Jian Pei Yong Zhang FedML 289 700 0 07 Jul 2020
Exact Support Recovery in Federated Regression with One-shot Communication Adarsh Barik Jean Honorio FedML 72 2 0 22 Jun 2020
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning Wonyong Jeong Jaehong Yoon Eunho Yang Sung Ju Hwang FedML 220 251 0 22 Jun 2020
D2P-Fed: Differentially Private Federated Learning With Efficient Communication Lun Wang R. Jia Dawn Song FedML 191 0 0 22 Jun 2020
Federated Learning Meets Multi-objective Optimization Zeou Hu Kiarash Shaloudegi Guojun Zhang Yaoliang Yu FedML 140 121 0 20 Jun 2020
The OARF Benchmark Suite: Characterization and Implications for Federated Learning SystemsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2020 Sixu Hu Yuan N. Li Xu Liu Yue Liu Zhaomin Wu Bingsheng He FedML 158 61 0 14 Jun 2020
Ensemble Distillation for Robust Model Fusion in Federated LearningNeural Information Processing Systems (NeurIPS), 2020 Tao Lin Lingjing Kong Sebastian U. Stich Martin Jaggi FedML 375 1,236 0 12 Jun 2020
Federated Generative Adversarial Learning Chenyou Fan Ping Liu GAN FedML 242 49 0 07 May 2020
Ternary Compression for Communication-Efficient Federated LearningIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 Jinjin Xu W. Du Ran Cheng Wangli He Yaochu Jin MQ FedML 133 191 0 07 Mar 2020
Federated Continual Learning with Weighted Inter-client TransferInternational Conference on Machine Learning (ICML), 2020 Jaehong Yoon Wonyoung Jeong Giwoong Lee Eunho Yang Sung Ju Hwang FedML 349 253 0 06 Mar 2020
Towards Utilizing Unlabeled Data in Federated Learning: A Survey and Prospective Yilun Jin Xiguang Wei Yang Liu Qiang Yang FedML 102 67 0 26 Feb 2020
Model Fusion via Optimal TransportNeural Information Processing Systems (NeurIPS), 2019 Sidak Pal Singh Martin Jaggi MoMe FedML 466 275 0 12 Oct 2019
The Non-IID Data Quagmire of Decentralized Machine LearningInternational Conference on Machine Learning (ICML), 2019 Kevin Hsieh Amar Phanishayee O. Mutlu Phillip B. Gibbons 363 617 0 01 Oct 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and ProtectionIEEE Transactions on Knowledge and Data Engineering (TKDE), 2019 Yue Liu Zeyi Wen Zhaomin Wu Sixu Hu Naibo Wang Yuan N. Li Xu Liu Bingsheng He FedML 255 1,192 0 23 Jul 2019
SecureBoost: A Lossless Federated Learning Framework Kewei Cheng Tao Fan Yilun Jin Yang Liu Tianjian Chen Dimitrios Papadopoulos Qiang Yang FedML 184 635 0 25 Jan 2019