Federated Optimization:Distributed Optimization Beyond the Datacenter

11 November 2015

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

50 / 305 papers shown

Title
Ground-Assisted Federated Learning in LEO Satellite Constellations N. Razmi Bho Matthiesen Armin Dekorsy P. Popovski FedML 48 81 0 03 Sep 2021
Canoe : A System for Collaborative Learning for Neural Nets Harshit Daga Yiwen Chen Aastha Agrawal Ada Gavrilovska FedML 48 2 0 27 Aug 2021
Byzantine Fault-Tolerance in Federated Local SGD under 2f-Redundancy Nirupam Gupta Thinh T. Doan Nitin H. Vaidya FedML 66 11 0 26 Aug 2021
Towards More Efficient Federated Learning with Better Optimization Objects Zirui Zhu Ziyi Ye FedML 45 0 0 19 Aug 2021
Efficient Byzantine-Resilient Stochastic Gradient Desce Kaiyun Li Xiaojun Chen Ye Dong Peng Zhang Dakui Wang Shuai Zeng 25 0 0 15 Aug 2021
A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee Chunjiang Che Xiaoli Li Chuan Chen Xiaoyu He Zibin Zheng FedML 106 76 0 01 Aug 2021
LEGATO: A LayerwisE Gradient AggregaTiOn Algorithm for Mitigating Byzantine Attacks in Federated Learning Kamala Varma Yi Zhou Nathalie Baracaldo Ali Anwar FedML 68 16 0 26 Jul 2021
Revealing the Landscape of Privacy-Enhancing Technologies in the Context of Data Markets for the IoT: A Systematic Literature Review Gonzalo Munilla Garrido Johannes Sedlmeir Ömer Uludağ Ilias Soto Alaoui André Luckow Florian Matthes 74 47 0 25 Jul 2021
DeceFL: A Principled Decentralized Federated Learning Framework Ye Yuan Jun Liu Dou Jin Zuogong Yue Ruijuan Chen ... Xinlei Yi Tao Yang Hai-Tao Zhang Shaochun Sui Han Ding FedML 73 11 0 15 Jul 2021
Federated Learning with Downlink Device Selection M. Amiri Sanjeev R. Kulkarni H. Vincent Poor FedML 107 9 0 07 Jul 2021
Test-time Collective Prediction Celestine Mendler-Dünner Wenshuo Guo Stephen Bates Michael I. Jordan FedML 52 2 0 22 Jun 2021
Dynamic Gradient Aggregation for Federated Domain Adaptation Dimitrios Dimitriadis K. Kumatani R. Gmyr Yashesh Gaur Sefik Emre Eskimez FedML 72 5 0 14 Jun 2021
Federated Myopic Community Detection with One-shot Communication Chuyang Ke Jean Honorio FedML 62 5 0 14 Jun 2021
Stochastic Alternating Direction Method of Multipliers for Byzantine-Robust Distributed Learning Feng-Shih Lin Weiyu Li Qing Ling FedML 121 6 0 13 Jun 2021
Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous Distributed Learning Eugene Belilovsky Louis Leconte Lucas Caccia Michael Eickenberg Edouard Oyallon 45 7 0 11 Jun 2021
Differentially Private Federated Learning via Inexact ADMM Minseok Ryu Kibaek Kim FedML 68 15 0 11 Jun 2021
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix Maximilian Lam Gu-Yeon Wei David Brooks Vijay Janapa Reddi Michael Mitzenmacher FedML 104 65 0 10 Jun 2021
FedDICE: A ransomware spread detection in a distributed integrated clinical environment using federated learning and SDN based mitigation Chandra Thapa K. Karmakar Alberto Huertas Celdrán S. Çamtepe Vijay Varadharajan Surya Nepal OOD FedML 15 19 0 09 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
SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks Chaoyang He Emir Ceyani Keshav Balasubramanian M. Annavaram Salman Avestimehr FedML 73 52 0 04 Jun 2021
Strategyproof Learning: Building Trustworthy User-Generated Datasets Sadegh Farhadkhani R. Guerraoui L. Hoang FedML 89 7 0 04 Jun 2021
A Privacy-Preserving and Trustable Multi-agent Learning Framework Anudit Nagar Cuong Tran Ferdinando Fioretto 27 1 0 02 Jun 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
Precise Approximation of Convolutional Neural Networks for Homomorphically Encrypted Data Junghyun Lee Eunsang Lee Joon-Woo Lee Yongjune Kim Young-Sik Kim Jong-Seon No 136 58 0 23 May 2021
DID-eFed: Facilitating Federated Learning as a Service with Decentralized Identities Jiahui Geng Neel Kanwal M. Jaatun Chunming Rong 62 19 0 18 May 2021
Is In-Domain Data Really Needed? A Pilot Study on Cross-Domain Calibration for Network Quantization Haichao Yu Linjie Yang Humphrey Shi OOD MQ 46 6 0 16 May 2021
A Unified Transferable Model for ML-Enhanced DBMS Ziniu Wu Pei Yu Peilun Yang Rong Zhu Yuxing Han Yaliang Li Defu Lian K. Zeng Jingren Zhou 107 31 0 06 May 2021
MGN-Net: a multi-view graph normalizer for integrating heterogeneous biological network populations I. Rekik Mustafa Burak Gurbuz 58 24 0 04 Apr 2021
Federated Learning with Taskonomy for Non-IID Data Hadi Jamali Rad Mohammad Abdizadeh Anuj Singh FedML 102 55 0 29 Mar 2021
FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning Minxue Tang Xuefei Ning Yitu Wang Jingwei Sun Yu Wang H. Li Yiran Chen FedML 89 86 0 24 Mar 2021
An Experiment Study on Federated LearningTestbed Cheng Shen Wanli Xue FedML 37 7 0 19 Mar 2021
Membership Inference Attacks on Machine Learning: A Survey Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 123 446 0 14 Mar 2021
Private Cross-Silo Federated Learning for Extracting Vaccine Adverse Event Mentions Pallika H. Kanani Virendra J. Marathe Daniel W. Peterson R. Harpaz Steve Bright FedML 85 9 0 12 Mar 2021
Efficient Client Contribution Evaluation for Horizontal Federated Learning Jie Zhao Xinghua Zhu Jianzong Wang Jing Xiao FedML 95 28 0 26 Feb 2021
Network Support for High-performance Distributed Machine Learning F. Malandrino C. Chiasserini Nuria Molner Antonio de la Oliva 92 10 0 05 Feb 2021
Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning Tomoya Murata Taiji Suzuki FedML 79 52 0 05 Feb 2021
FEDZIP: A Compression Framework for Communication-Efficient Federated Learning Amirhossein Malekijoo Mohammad Javad Fadaeieslam Hanieh Malekijou Morteza Homayounfar F. Alizadeh-Shabdiz Reza Rawassizadeh FedML 94 55 0 02 Feb 2021
Scaling Federated Learning for Fine-tuning of Large Language Models Agrin Hilmkil Sebastian Callh Matteo Barbieri L. R. Sütfeld Edvin Listo Zec Olof Mogren FedML 56 50 0 01 Feb 2021
Differentially Private Distributed Computation via Public-Private Communication Networks Lei Wang Yang Liu I. Manchester Guodong Shi FedML 44 3 0 05 Jan 2021
Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare M. Gawali S. ArvindC. Shriya Suryavanshi Harshit Madaan A. Gaikwad KN BhanuPrakash V. Kulkarni Aniruddha Pant FedML 86 35 0 23 Dec 2020
Optimising cost vs accuracy of decentralised analytics in fog computing environments Lorenzo Valerio A. Passarella M. Conti 69 1 0 09 Dec 2020
Dynamic Clustering in Federated Learning Yeongwoo Kim Ezeddin Al Hakim Johan Haraldson Henrik Eriksson J. M. B. D. Silva Carlo Fischione 94 59 0 07 Dec 2020
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications Shuyan Hu Xiaojing Chen Wei Ni Ekram Hossain Xin Wang AI4CE 108 115 0 02 Dec 2020
Challenges in Deploying Machine Learning: a Survey of Case Studies Andrei Paleyes Raoul-Gabriel Urma Neil D. Lawrence 71 409 0 18 Nov 2020
Federated Composite Optimization Honglin Yuan Manzil Zaheer Sashank J. Reddi FedML 87 61 0 17 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 46 8 0 13 Nov 2020
Throughput-Optimal Topology Design for Cross-Silo Federated Learning Othmane Marfoq Chuan Xu Giovanni Neglia Richard Vidal FedML 149 88 0 23 Oct 2020
MixCon: Adjusting the Separability of Data Representations for Harder Data Recovery Xiaoxiao Li Yangsibo Huang Binghui Peng Zhao Song Keqin Li MIACV 69 1 0 22 Oct 2020
Blind Federated Edge Learning M. Amiri T. Duman Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor 140 92 0 19 Oct 2020
Secure and Fault Tolerant Decentralized Learning Saurav Prakash H. Hashemi Yongqin Wang M. Annavaram Salman Avestimehr FedML 86 10 0 15 Oct 2020