Federated Optimization:Distributed Optimization Beyond the Datacenter

11 November 2015

Papers citing "Federated Optimization:Distributed Optimization Beyond the Datacenter"

50 / 305 papers shown

Title
Privacy-Preserving Object Detection & Localization Using Distributed Machine Learning: A Case Study of Infant Eyeblink Conditioning Stefan Zwaard H. Boele H. Alers Christos Strydis C. Lew‐Williams Zaid Al-Ars FedML 71 2 0 14 Oct 2020
Can Federated Learning Save The Planet? Xinchi Qiu Titouan Parcollet Daniel J. Beutel Taner Topal Akhil Mathur Nicholas D. Lane 74 81 0 13 Oct 2020
COVID-19 Imaging Data Privacy by Federated Learning Design: A Theoretical Framework Anwaar Ulhaq O. Burmeister FedML 65 19 0 13 Oct 2020
Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review Yuqi Si Jingcheng Du Zhao Li Xiaoqian Jiang T. Miller Fei Wang W. J. Zheng Kirk Roberts OOD 103 165 0 06 Oct 2020
How to send a real number using a single bit (and some shared randomness) Ran Ben-Basat Michael Mitzenmacher S. Vargaftik 76 19 0 05 Oct 2020
Federated Dynamic GNN with Secure Aggregation Meng Jiang Taeho Jung Ryan Karl Tong Zhao FedML 84 31 0 15 Sep 2020
Robustness and Personalization in Federated Learning: A Unified Approach via Regularization Achintya Kundu Pengqian Yu L. Wynter Shiau Hong Lim FedML 17 15 0 14 Sep 2020
Communication-efficient distributed eigenspace estimation Vasileios Charisopoulos Austin R. Benson Anil Damle 45 10 0 05 Sep 2020
ESMFL: Efficient and Secure Models for Federated Learning Sheng Lin Chenghong Wang Hongjia Li Jieren Deng Yanzhi Wang Caiwen Ding FedML 45 5 0 03 Sep 2020
Efficient, high-performance pancreatic segmentation using multi-scale feature extraction Moritz Knolle Georgios Kaissis F. Jungmann Sebastian Ziegelmayer D. Sasse Marcus R. Makowski Daniel Rueckert R. Braren MedIm 33 14 0 02 Sep 2020
Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models Zhengming Zhang Yaoqing Yang Z. Yao Yujun Yan Joseph E. Gonzalez Michael W. Mahoney FedML 131 36 0 26 Aug 2020
Convergence of Federated Learning over a Noisy Downlink M. Amiri Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor FedML 101 75 0 25 Aug 2020
New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design Kartikeya Bhardwaj Wei Chen R. Marculescu GNN 43 7 0 25 Aug 2020
Precision Health Data: Requirements, Challenges and Existing Techniques for Data Security and Privacy Chandra Thapa S. Çamtepe 47 212 0 24 Aug 2020
Not one but many Tradeoffs: Privacy Vs. Utility in Differentially Private Machine Learning Benjamin Zi Hao Zhao M. Kâafar N. Kourtellis 44 27 0 20 Aug 2020
Inverse Distance Aggregation for Federated Learning with Non-IID Data Yousef Yeganeh Azade Farshad Nassir Navab Shadi Albarqouni OOD 70 83 0 17 Aug 2020
How to Put Users in Control of their Data in Federated Top-N Recommendation with Learning to Rank Vito Walter Anelli Yashar Deldjoo Tommaso Di Noia Antonio Ferrara Fedelucio Narducci FedML 21 1 0 17 Aug 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications Jihong Park S. Samarakoon Anis Elgabli Joongheon Kim M. Bennis Seong-Lyun Kim Mérouane Debbah 102 164 0 06 Aug 2020
Federated Transfer Learning with Dynamic Gradient Aggregation Dimitrios Dimitriadis K. Kumatani R. Gmyr Yashesh Gaur Sefik Emre Eskimez FedML 96 15 0 06 Aug 2020
Prioritized Multi-Criteria Federated Learning Vito Walter Anelli Yashar Deldjoo Tommaso Di Noia Antonio Ferrara FedML 18 9 0 17 Jul 2020
Less is More: A privacy-respecting Android malware classifier using Federated Learning Rafa Gálvez Veelasha Moonsamy Claudia Díaz FedML 46 30 0 16 Jul 2020
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization Jianyu Wang Qinghua Liu Hao Liang Gauri Joshi H. Vincent Poor MoMe FedML 75 1,366 0 15 Jul 2020
Exact Support Recovery in Federated Regression with One-shot Communication Adarsh Barik Jean Honorio FedML 58 2 0 22 Jun 2020
Federated Learning With Quantized Global Model Updates M. Amiri Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor FedML 108 133 0 18 Jun 2020
Communication-Efficient Robust Federated Learning Over Heterogeneous Datasets Yanjie Dong G. Giannakis Tianyi Chen Julian Cheng Md. Jahangir Hossain Victor C. M. Leung FedML 62 14 0 17 Jun 2020
Federated and continual learning for classification tasks in a society of devices F. Casado Dylan Lema R. Iglesias Carlos V. Regueiro S. Barro FedML 67 2 0 12 Jun 2020
Continual Local Training for Better Initialization of Federated Models Xin Yao Lifeng Sun FedML 62 72 0 26 May 2020
Dynamic backup workers for parallel machine learning Chuan Xu Giovanni Neglia Nicola Sebastianelli 68 11 0 30 Apr 2020
SplitFed: When Federated Learning Meets Split Learning Chandra Thapa Pathum Chamikara Mahawaga Arachchige S. Çamtepe Lichao Sun FedML 105 596 0 25 Apr 2020
Data Poisoning Attacks on Federated Machine Learning Gan Sun Yang Cong Jiahua Dong Qiang Wang Ji Liu FedML AAML 74 210 0 19 Apr 2020
Towards Federated Learning With Byzantine-Robust Client Weighting Amit Portnoy Yoav Tirosh Danny Hendler FedML 50 11 0 10 Apr 2020
FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning Wei Chen Kartikeya Bhardwaj R. Marculescu FedML 56 38 0 07 Apr 2020
Inverting Gradients -- How easy is it to break privacy in federated learning? Jonas Geiping Hartmut Bauermeister Hannah Dröge Michael Moeller FedML 136 1,237 0 31 Mar 2020
Edge Intelligence: Architectures, Challenges, and Applications Dianlei Xu Tong Li Yong Li Xiang Su Sasu Tarkoma Tao Jiang Jon Crowcroft Pan Hui 116 29 0 26 Mar 2020
A Compressive Sensing Approach for Federated Learning over Massive MIMO Communication Systems Yo-Seb Jeon M. Amiri Jun Li H. Vincent Poor 70 9 0 18 Mar 2020
Ternary Compression for Communication-Efficient Federated Learning Jinjin Xu W. Du Ran Cheng Wangli He Yaochu Jin MQ FedML 96 181 0 07 Mar 2020
Decentralized SGD with Over-the-Air Computation Emre Ozfatura Stefano Rini Deniz Gunduz 70 38 0 06 Mar 2020
Distributed Momentum for Byzantine-resilient Learning El-Mahdi El-Mhamdi R. Guerraoui Sébastien Rouault FedML 58 22 0 28 Feb 2020
Decentralized gradient methods: does topology matter? Giovanni Neglia Chuan Xu Don Towsley G. Calbi 77 52 0 28 Feb 2020
Communication-Efficient Edge AI: Algorithms and Systems Yuanming Shi Kai Yang Tao Jiang Jun Zhang Khaled B. Letaief GNN 99 334 0 22 Feb 2020
Federated Matrix Factorization: Algorithm Design and Application to Data Clustering Shuai Wang Tsung-Hui Chang FedML 45 5 0 12 Feb 2020
Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge M. Amiri Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor 154 173 0 28 Jan 2020
Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond Tsung-Hui Chang Mingyi Hong Hoi-To Wai Xinwei Zhang Songtao Lu GNN 63 13 0 14 Jan 2020
Private Federated Learning with Domain Adaptation Daniel W. Peterson Pallika H. Kanani Virendra J. Marathe FedML 55 83 0 13 Dec 2019
Communication-Efficient Network-Distributed Optimization with Differential-Coded Compressors Xin Zhang Jia-Wei Liu Zhengyuan Zhu Elizabeth S. Bentley 42 7 0 06 Dec 2019
Collective Learning Francesco Farina FedML 68 23 0 05 Dec 2019
Federated Learning with Personalization Layers Manoj Ghuhan Arivazhagan V. Aggarwal Aaditya Kumar Singh Sunav Choudhary FedML 99 849 0 02 Dec 2019
Preserving Patient Privacy while Training a Predictive Model of In-hospital Mortality Pulkit Sharma Farah E. Shamout David Clifton 79 27 0 01 Dec 2019
Gradient Perturbation is Underrated for Differentially Private Convex Optimization Da Yu Huishuai Zhang Kwei-Herng Lai Yuening Li Helen Zhou 93 37 0 26 Nov 2019
Order Optimal One-Shot Distributed Learning Arsalan Sharifnassab Saber Salehkaleybar S. J. Golestani 63 10 0 02 Nov 2019