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Federated Optimization in Heterogeneous Networks

14 December 2018

Papers citing "Federated Optimization in Heterogeneous Networks"

50 / 1,024 papers shown

Title
Hierarchical Federated Learning through LAN-WAN Orchestration Jinliang Yuan Mengwei Xu Xiao Ma Ao Zhou Xuanzhe Liu Shangguang Wang FedML 60 38 0 22 Oct 2020
Federated Bayesian Optimization via Thompson Sampling Zhongxiang Dai K. H. Low Patrick Jaillet FedML 145 113 0 20 Oct 2020
Federated Unsupervised Representation Learning Fengda Zhang Kun Kuang Zhaoyang You Tao Shen Jun Xiao Yin Zhang Chao-Xiang Wu Yueting Zhuang Xiaolin Li FedML 89 137 0 18 Oct 2020
Can Federated Learning Save The Planet? Xinchi Qiu Titouan Parcollet Daniel J. Beutel Taner Topal Akhil Mathur Nicholas D. Lane 72 81 0 13 Oct 2020
Oort: Efficient Federated Learning via Guided Participant Selection Fan Lai Xiangfeng Zhu H. Madhyastha Mosharaf Chowdhury FedML OODD 133 275 0 12 Oct 2020
FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers Zheng Chai Yujing Chen Ali Anwar Liang Zhao Yue Cheng Huzefa Rangwala FedML 82 124 0 12 Oct 2020
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms Maruan Al-Shedivat Jennifer Gillenwater Eric Xing Afshin Rostamizadeh FedML 126 112 0 11 Oct 2020
Voting-based Approaches For Differentially Private Federated Learning Yuqing Zhu Xiang Yu Yi-Hsuan Tsai Francesco Pittaluga M. Faraki Manmohan Chandraker Yu Wang FedML 71 22 0 09 Oct 2020
Lower Bounds and Optimal Algorithms for Personalized Federated Learning Filip Hanzely Slavomír Hanzely Samuel Horváth Peter Richtárik FedML 130 190 0 05 Oct 2020
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies Yae Jee Cho Jianyu Wang Gauri Joshi FedML 160 409 0 03 Oct 2020
Practical One-Shot Federated Learning for Cross-Silo Setting Qinbin Li Bingsheng He Basel Alomair FedML 86 121 0 02 Oct 2020
FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling Cheng Chen Ziyi Chen Yi Zhou B. Kailkhura FedML 66 62 0 22 Sep 2020
Federated Learning with Nesterov Accelerated Gradient Zhengjie Yang Wei Bao Dong Yuan Nguyen H. Tran Albert Y. Zomaya FedML 68 32 0 18 Sep 2020
Distilled One-Shot Federated Learning Yanlin Zhou George Pu Xiyao Ma Xiaolin Li D. Wu FedML DD 162 161 0 17 Sep 2020
FedSmart: An Auto Updating Federated Learning Optimization Mechanism Anxun He Jianzong Wang Zhangcheng Huang Jing Xiao FedML 48 10 0 16 Sep 2020
Effective Federated Adaptive Gradient Methods with Non-IID Decentralized Data Qianqian Tong Guannan Liang J. Bi FedML 101 28 0 14 Sep 2020
From Federated Learning to Federated Neural Architecture Search: A Survey Hangyu Zhu Haoyu Zhang Yaochu Jin FedML OOD AI4CE 111 154 0 12 Sep 2020
Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent Rahif Kassab Osvaldo Simeone FedML 93 46 0 11 Sep 2020
Local and Central Differential Privacy for Robustness and Privacy in Federated Learning Mohammad Naseri Jamie Hayes Emiliano De Cristofaro FedML 122 149 0 08 Sep 2020
Alternating Direction Method of Multipliers for Quantization Tianjian Huang Prajwal Singhania Maziar Sanjabi Pabitra Mitra Meisam Razaviyayn MQ 76 11 0 08 Sep 2020
Particle Swarm Optimized Federated Learning For Industrial IoT and Smart City Services Basheer Qolomany Kashif Ahmad Ala I. Al-Fuqaha Junaid Qadir 63 65 0 05 Sep 2020
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning Hong-You Chen Wei-Lun Chao FedML 98 262 0 04 Sep 2020
Performance Optimization for Federated Person Re-identification via Benchmark Analysis Weiming Zhuang Yonggang Wen Xuesen Zhang Xin Gan Daiying Yin Dongzhan Zhou Shuai Zhang Shuai Yi FedML 124 98 0 26 Aug 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
Accelerating Federated Learning in Heterogeneous Data and Computational Environments Dimitris Stripelis J. Ambite FedML 51 11 0 25 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
Heterogeneous Federated Learning Fuxun Yu Weishan Zhang Zhuwei Qin Zirui Xu Di Wang Chenchen Liu Zhi Tian Xiang Chen FedML 70 22 0 15 Aug 2020
WAFFLe: Weight Anonymized Factorization for Federated Learning Weituo Hao Nikhil Mehta Kevin J. Liang Pengyu Cheng Mostafa El-Khamy Lawrence Carin FedML 84 13 0 13 Aug 2020
Distantly Supervised Relation Extraction in Federated Settings Dianbo Sui Yubo Chen Kang Liu Jun Zhao FedML 71 11 0 12 Aug 2020
Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning Sai Praneeth Karimireddy Martin Jaggi Satyen Kale M. Mohri Sashank J. Reddi Sebastian U. Stich A. Suresh FedML 165 218 0 08 Aug 2020
Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge Chaoyang He M. Annavaram A. Avestimehr FedML 94 23 0 28 Jul 2020
Flower: A Friendly Federated Learning Research Framework Daniel J. Beutel Taner Topal Akhil Mathur Xinchi Qiu Javier Fernandez-Marques ... Lorenzo Sani Kwing Hei Li Titouan Parcollet Pedro Porto Buarque de Gusmão Nicholas D. Lane FedML 144 825 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 267 578 0 27 Jul 2020
Evaluation of Federated Learning in Phishing Email Detection Chandra Thapa Jun Tang A. Abuadbba Yansong Gao S. Çamtepe Surya Nepal Mahathir Almashor Yifeng Zheng FedML 69 16 0 27 Jul 2020
Fast-Convergent Federated Learning Hung T. Nguyen Vikash Sehwag Seyyedali Hosseinalipour Christopher G. Brinton M. Chiang H. Vincent Poor FedML 103 196 0 26 Jul 2020
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective Sin Kit Lo Qinghua Lu Chen Wang Hye-Young Paik Liming Zhu FedML 142 84 0 22 Jul 2020
Asynchronous Federated Learning with Reduced Number of Rounds and with Differential Privacy from Less Aggregated Gaussian Noise Marten van Dijk Nhuong V. Nguyen Toan N. Nguyen Lam M. Nguyen Quoc Tran-Dinh Phuong Ha Nguyen FedML 89 29 0 17 Jul 2020
Prioritized Multi-Criteria Federated Learning Vito Walter Anelli Yashar Deldjoo Tommaso Di Noia Antonio Ferrara FedML 18 9 0 17 Jul 2020
FetchSGD: Communication-Efficient Federated Learning with Sketching D. Rothchild Ashwinee Panda Enayat Ullah Nikita Ivkin Ion Stoica Vladimir Braverman Joseph E. Gonzalez Raman Arora FedML 100 371 0 15 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 1,365 0 15 Jul 2020
Personalized Cross-Silo Federated Learning on Non-IID Data Yutao Huang Lingyang Chu Zirui Zhou Lanjun Wang Jiangchuan Liu J. Pei Yong Zhang FedML 105 616 0 07 Jul 2020
Learning while Respecting Privacy and Robustness to Distributional Uncertainties and Adversarial Data A. Sadeghi Gang Wang Meng Ma G. Giannakis OOD FedML 24 4 0 07 Jul 2020
Self-organizing Democratized Learning: Towards Large-scale Distributed Learning Systems Minh N. H. Nguyen Shashi Raj Pandey Tri Nguyen Dang Eui-nam Huh N. H. Tran Walid Saad Choong Seon Hong FedML 88 32 0 07 Jul 2020
Federated Learning with Compression: Unified Analysis and Sharp Guarantees Farzin Haddadpour Mohammad Mahdi Kamani Aryan Mokhtari M. Mahdavi FedML 107 281 0 02 Jul 2020
On the Outsized Importance of Learning Rates in Local Update Methods Zachary B. Charles Jakub Konecný FedML 92 54 0 02 Jul 2020
Federated Mutual Learning Tao Shen Jie Zhang Xinkang Jia Fengda Zhang Gang Huang Pan Zhou Kun Kuang Leilei Gan Chao-Xiang Wu FedML 101 124 0 27 Jun 2020
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning Wonyong Jeong Jaehong Yoon Eunho Yang Sung Ju Hwang FedML 80 224 0 22 Jun 2020
Byzantine-Resilient High-Dimensional Federated Learning Deepesh Data Suhas Diggavi FedML AAML 72 42 0 22 Jun 2020
Free-rider Attacks on Model Aggregation in Federated Learning Yann Fraboni Richard Vidal Marco Lorenzi FedML 85 131 0 21 Jun 2020
Federated Learning Meets Multi-objective Optimization Zeou Hu Kiarash Shaloudegi Guojun Zhang Yaoliang Yu FedML 85 97 0 20 Jun 2020