Communication-Efficient Learning of Deep Networks from Decentralized Data

17 February 2016

Blaise Agüera y Arcas

FedML

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Papers citing "Communication-Efficient Learning of Deep Networks from Decentralized Data"

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CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability Martin Mundt Steven Braun Quentin Delfosse Kristian Kersting 29 35 0 07 Oct 2021
FedTune: Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective Huan Zhang Mi Zhang Xin Liu P. Mohapatra Michael DeLucia FedML 36 18 0 06 Oct 2021
Federated Learning via Plurality Vote Kai Yue Richeng Jin Chau-Wai Wong H. Dai FedML 44 8 0 06 Oct 2021
Efficient and Private Federated Learning with Partially Trainable Networks Hakim Sidahmed Zheng Xu Ankush Garg Yuan Cao Mingqing Chen FedML 65 13 0 06 Oct 2021
SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision Chaoyang He Zhengyu Yang Erum Mushtaq Sunwoo Lee Mahdi Soltanolkotabi A. Avestimehr FedML 98 36 0 06 Oct 2021
KNOT: Knowledge Distillation using Optimal Transport for Solving NLP Tasks Rishabh Bhardwaj Tushar Vaidya Soujanya Poria OT FedML 70 7 0 06 Oct 2021
Securing Federated Learning: A Covert Communication-based Approach Yuan-ai Xie Jiawen Kang Dusit Niyato Nguyen Thi Thanh Van Nguyen Cong Luong Zhixin Liu Han Yu FedML 49 25 0 05 Oct 2021
Privacy enabled Financial Text Classification using Differential Privacy and Federated Learning Priya Basu Tiasa Singha Roy Rakshit Naidu Zumrut Muftuoglu 24 20 0 04 Oct 2021
Solon: Communication-efficient Byzantine-resilient Distributed Training via Redundant Gradients Lingjiao Chen Leshang Chen Hongyi Wang S. Davidson Yan Sun FedML 37 1 0 04 Oct 2021
Distributed Learning Approaches for Automated Chest X-Ray Diagnosis E. Giacomello M. Cataldo Daniele Loiacono P. Lanzi OOD 38 1 0 04 Oct 2021
Trustworthy AI: From Principles to Practices Yue Liu Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 121 357 0 04 Oct 2021
FairFed: Enabling Group Fairness in Federated Learning Yahya H. Ezzeldin Shen Yan Chaoyang He Emilio Ferrara A. Avestimehr FedML 33 197 0 02 Oct 2021
Coding for Straggler Mitigation in Federated Learning Siddhartha Kumar Reent Schlegel E. Rosnes Alexandre Graell i Amat FedML 34 11 0 30 Sep 2021
Federated Learning in ASR: Not as Easy as You Think Wentao Yu J. Freiwald Soren Tewes F. Huennemeyer D. Kolossa FedML 36 17 0 30 Sep 2021
Secure Multi-Party Computation based Privacy Preserving Data Analysis in Healthcare IoT Systems Kevser Sahinbas Ferhat Ozgur Catak 42 11 0 29 Sep 2021
Smart at what cost? Characterising Mobile Deep Neural Networks in the wild Mario Almeida Stefanos Laskaridis Abhinav Mehrotra Łukasz Dudziak Ilias Leontiadis Nicholas D. Lane HAI 115 44 0 28 Sep 2021
Private Language Model Adaptation for Speech Recognition Zhe Liu Ke Li Shreyan Bakshi Fuchun Peng 39 6 0 28 Sep 2021
Local Learning at the Network Edge for Efficient & Secure Real-Time Predictive Analytics Natascha Harth Hans-Jörg Vögel Kostas Kolomvatsos Christos Anagnostopoulos 21 12 0 25 Sep 2021
NanoBatch Privacy: Enabling fast Differentially Private learning on the IPU Edward H. Lee M. M. Krell Alexander Tsyplikhin Victoria Rege E. Colak Kristen W. Yeom FedML 21 0 0 24 Sep 2021
Paving the Way for Distributed Artificial Intelligence over the Air Guoqing Ma Shuping Dang Chuanting Zhang B. Shihada 27 3 0 24 Sep 2021
Federated Feature Selection for Cyber-Physical Systems of Systems P. Cassará A. Gotta Lorenzo Valerio 38 35 0 23 Sep 2021
Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis Zeyuan Yin Ye Yuan Panfeng Guo Pan Zhou FedML 45 7 0 22 Sep 2021
DeSMP: Differential Privacy-exploited Stealthy Model Poisoning Attacks in Federated Learning Md Tamjid Hossain Shafkat Islam S. Badsha Haoting Shen AAML 59 41 0 21 Sep 2021
Improving Fairness for Data Valuation in Horizontal Federated Learning Zhenan Fan Huang Fang Zirui Zhou Jian Pei M. Friedlander Changxin Liu Yong Zhang TDI FedML 49 48 0 19 Sep 2021
Enforcing fairness in private federated learning via the modified method of differential multipliers Borja Rodríguez Gálvez Filip Granqvist Rogier van Dalen M. Seigel FedML 48 53 0 17 Sep 2021
Comfetch: Federated Learning of Large Networks on Constrained Clients via Sketching Tahseen Rabbani Brandon Yushan Feng Marco Bornstein Kyle Rui Sang Yifan Yang Arjun Rajkumar A. Varshney Furong Huang FedML 64 2 0 17 Sep 2021
Achieving Model Fairness in Vertical Federated Learning Changxin Liu Zhenan Fan Zirui Zhou Yang Shi J. Pei Lingyang Chu Yong Zhang FedML 60 12 0 17 Sep 2021
Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer Yae Jee Cho Jianyu Wang Tarun Chiruvolu Gauri Joshi FedML 42 31 0 16 Sep 2021
Connecting Low-Loss Subspace for Personalized Federated Learning S. Hahn Minwoo Jeong Junghye Lee FedML 24 18 0 16 Sep 2021
Federated Contrastive Learning for Decentralized Unlabeled Medical Images Nanqing Dong Irina Voiculescu FedML 27 62 0 15 Sep 2021
Fast Federated Edge Learning with Overlapped Communication and Computation and Channel-Aware Fair Client Scheduling M. E. Ozfatura Junlin Zhao Deniz Gündüz 37 15 0 14 Sep 2021
Bayesian AirComp with Sign-Alignment Precoding for Wireless Federated Learning Chanhoo Park Seunghoon Lee Namyoon Lee 36 5 0 14 Sep 2021
Source Inference Attacks in Federated Learning Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Xuyun Zhang 32 79 0 13 Sep 2021
FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning Liwei Che Zewei Long Jiaqi Wang Yaqing Wang Houping Xiao Fenglong Ma FedML 27 23 0 12 Sep 2021
Cost-Effective Federated Learning in Mobile Edge Networks Bing Luo Xiang Li Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 59 73 0 12 Sep 2021
A Blockchain based Federated Learning for Message Dissemination in Vehicular Networks Ferheen Ayaz Zhengguo Sheng Daxin Tian Y. L. Guan 24 52 0 11 Sep 2021
Multimodal Federated Learning on IoT Data Yuchen Zhao Payam Barnaghi Hamed Haddadi 13 74 0 10 Sep 2021
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning Zewei Long Jiaqi Wang Yaqing Wang Houping Xiao Fenglong Ma FedML 53 22 0 09 Sep 2021
Asynchronous Federated Learning on Heterogeneous Devices: A Survey Chenhao Xu Youyang Qu Yong Xiang Longxiang Gao FedML 104 246 0 09 Sep 2021
Iterated Vector Fields and Conservatism, with Applications to Federated Learning Zachary B. Charles Keith Rush 32 6 0 08 Sep 2021
FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained Federated Learning with Heterogeneous On-Device Models Lan Zhang Dapeng Wu Xiaoyong Yuan FedML 43 48 0 08 Sep 2021
On the Convergence of Decentralized Adaptive Gradient Methods Xiangyi Chen Belhal Karimi Weijie Zhao Ping Li 23 21 0 07 Sep 2021
Generation of Synthetic Electronic Health Records Using a Federated GAN Jo C Weldon T. Ward Eoin Brophy SyDa 42 14 0 06 Sep 2021
Byzantine-Robust Federated Learning via Credibility Assessment on Non-IID Data Kun Zhai Qiang Ren Junli Wang Chungang Yan 18 11 0 06 Sep 2021
Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge Learning Hang Liu Zehong Lin Xiaojun Yuan Y. Zhang 22 5 0 06 Sep 2021
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning Zelei Liu Yuanyuan Chen Han Yu Yang Liu Li-zhen Cui FedML TDI 27 124 0 05 Sep 2021
Ground-Assisted Federated Learning in LEO Satellite Constellations N. Razmi Bho Matthiesen Armin Dekorsy P. Popovski FedML 19 80 0 03 Sep 2021
GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization Yen-hsiu Chou linda Qiao Chenxi Sun D. Cai Moxian Song Hongyan Li FedML 33 9 0 31 Aug 2021
Unit-Modulus Wireless Federated Learning Via Penalty Alternating Minimization Shuai Wang Dachuan Li Rui Wang Qi Hao Yik-Chung Wu Derrick Wing Kwan Ng 31 1 0 31 Aug 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 69 520 0 31 Aug 2021