Federated Optimization: Distributed Machine Learning for On-Device Intelligence

8 October 2016

Papers citing "Federated Optimization: Distributed Machine Learning for On-Device Intelligence"

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Title
Low Precision Decentralized Distributed Training over IID and non-IID Data Sai Aparna Aketi Sangamesh Kodge Kaushik Roy MQ 22 9 0 17 Nov 2021
Privacy-preserving Federated Learning for Residential Short Term Load Forecasting Joaquín Delgado Fernández Sergio Potenciano Menci Chul Min Lee Gilbert Fridgen 33 53 0 17 Nov 2021
Eluding Secure Aggregation in Federated Learning via Model Inconsistency Dario Pasquini Danilo Francati G. Ateniese FedML 28 101 0 14 Nov 2021
Linear Speedup in Personalized Collaborative Learning El Mahdi Chayti Sai Praneeth Karimireddy Sebastian U. Stich Nicolas Flammarion Martin Jaggi FedML 21 13 0 10 Nov 2021
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning Raed Al Kontar Naichen Shi Xubo Yue Seokhyun Chung E. Byon ... C. Okwudire Garvesh Raskutti R. Saigal Karandeep Singh Ye Zhisheng FedML 41 50 0 09 Nov 2021
Unified Group Fairness on Federated Learning Fengda Zhang Kun Kuang Yuxuan Liu Long Chen Chao-Xiang Wu Fei Wu Jiaxun Lu Yunfeng Shao Jun Xiao FedML 63 20 0 09 Nov 2021
Bayesian Framework for Gradient Leakage Mislav Balunović Dimitar I. Dimitrov Robin Staab Martin Vechev FedML 27 41 0 08 Nov 2021
ARFED: Attack-Resistant Federated averaging based on outlier elimination Ece Isik Polat Gorkem Polat Altan Koçyiğit AAML FedML 41 10 0 08 Nov 2021
Federated Learning Based on Dynamic Regularization D. A. E. Acar Yue Zhao Ramon Matas Navarro Matthew Mattina P. Whatmough Venkatesh Saligrama FedML 15 747 0 08 Nov 2021
FedGraph: Federated Graph Learning with Intelligent Sampling Fahao Chen Peng Li T. Miyazaki Celimuge Wu FedML 19 78 0 02 Nov 2021
Federated Semi-Supervised Learning with Class Distribution Mismatch Zhiguo Wang Xintong Wang Ruoyu Sun Tsung-Hui Chang FedML 36 12 0 29 Oct 2021
Communication-Efficient ADMM-based Federated Learning Shenglong Zhou Geoffrey Ye Li FedML 35 22 0 28 Oct 2021
Federated Learning with Heterogeneous Differential Privacy Nasser Aldaghri Hessam Mahdavifar Ahmad Beirami FedML 35 2 0 28 Oct 2021
What Do We Mean by Generalization in Federated Learning? Honglin Yuan Warren Morningstar Lin Ning K. Singhal OOD FedML 41 71 0 27 Oct 2021
Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee Flint Xiaofeng Fan Yining Ma Zhongxiang Dai Wei Jing Cheston Tan K. H. Low FedML AI4CE 13 78 0 26 Oct 2021
Optimal Model Averaging: Towards Personalized Collaborative Learning Felix Grimberg Mary-Anne Hartley Sai Praneeth Karimireddy Martin Jaggi FedML MoMe 25 15 0 25 Oct 2021
Differentially Private Linear Optimization for Multi-Party Resource Sharing Utku Karaca N. Aydin S. Yıldırım S. Birbil 6 0 0 20 Oct 2021
A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison Sannara Ek François Portet P. Lalanda Germán Vega FedML 33 105 0 19 Oct 2021
Semi-asynchronous Hierarchical Federated Learning for Cooperative Intelligent Transportation Systems Qimei Chen Zehua You Hao Jiang 11 13 0 18 Oct 2021
FedSpeech: Federated Text-to-Speech with Continual Learning Ziyue Jiang Yi Ren Ming Lei Zhou Zhao FedML 101 24 0 14 Oct 2021
Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based Vertical Federated Learning Jinyin Chen Guohan Huang Haibin Zheng Shanqing Yu Wenrong Jiang Chen Cui AAML FedML 82 32 0 13 Oct 2021
FTPipeHD: A Fault-Tolerant Pipeline-Parallel Distributed Training Framework for Heterogeneous Edge Devices Yuhao Chen Qianqian Yang Shibo He Zhiguo Shi Jiming Chen 16 3 0 06 Oct 2021
KNOT: Knowledge Distillation using Optimal Transport for Solving NLP Tasks Rishabh Bhardwaj Tushar Vaidya Soujanya Poria OT FedML 65 7 0 06 Oct 2021
A Systematic Survey of Blockchained Federated Learning Zhilin Wang Qin Hu Minghui Xu Zhuang Yan Yawei Wang Xiuzhen Cheng FedML 48 45 0 05 Oct 2021
Federating for Learning Group Fair Models Afroditi Papadaki Natalia Martínez Martín Bertrán Guillermo Sapiro Miguel R. D. Rodrigues FedML FaML 23 17 0 05 Oct 2021
Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits Chuanhao Li Hongning Wang FedML 24 36 0 04 Oct 2021
Federated Learning in ASR: Not as Easy as You Think Wentao Yu J. Freiwald Soren Tewes F. Huennemeyer D. Kolossa FedML 27 17 0 30 Sep 2021
Secure Machine Learning over Relational Data Qiyao Luo Yilei Wang Zhenghang Ren K. Yi Kai Chen Xiao Wang 32 4 0 30 Sep 2021
Private Language Model Adaptation for Speech Recognition Zhe Liu Ke Li Shreyan Bakshi Fuchun Peng 34 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
Utility Fairness for the Differentially Private Federated Learning S. Alvi Yi Hong S. Durrani FedML 11 8 0 11 Sep 2021
Asynchronous Federated Learning on Heterogeneous Devices: A Survey Chenhao Xu Youyang Qu Yong Xiang Longxiang Gao FedML 104 242 0 09 Sep 2021
F3: Fair and Federated Face Attribute Classification with Heterogeneous Data Samhita Kanaparthy Manisha Padala Sankarshan Damle Ravi Kiran Sarvadevabhatla Sujit Gujar CVBM 29 2 0 06 Sep 2021
Decentralized optimization with non-identical sampling in presence of stragglers Tharindu B. Adikari S. Draper 37 1 0 25 Aug 2021
Anarchic Federated Learning Haibo Yang Xin Zhang Prashant Khanduri Jia Liu FedML 24 58 0 23 Aug 2021
SplitGuard: Detecting and Mitigating Training-Hijacking Attacks in Split Learning Ege Erdogan Alptekin Kupcu A. E. Cicek AAML 22 32 0 20 Aug 2021
UnSplit: Data-Oblivious Model Inversion, Model Stealing, and Label Inference Attacks Against Split Learning Ege Erdogan Alptekin Kupcu A. E. Cicek FedML MIACV 35 77 0 20 Aug 2021
Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and Horizontal Data Partitioning Anirban Das Timothy Castiglia Shiqiang Wang S. Patterson FedML 13 19 0 19 Aug 2021
Multi-Center Federated Learning: Clients Clustering for Better Personalization Guodong Long Ming Xie Tao Shen Dinesh Manocha Xianzhi Wang Jing Jiang Chengqi Zhang FedML 32 242 0 19 Aug 2021
FedPAGE: A Fast Local Stochastic Gradient Method for Communication-Efficient Federated Learning Haoyu Zhao Zhize Li Peter Richtárik FedML 22 29 0 10 Aug 2021
Multi-task Federated Edge Learning (MtFEEL) in Wireless Networks Sawan Singh Mahara M. Shruti B. Bharath Akash Murthy FedML 40 0 0 05 Aug 2021
FedJAX: Federated learning simulation with JAX Jae Hun Ro A. Suresh Ke Wu FedML 33 48 0 04 Aug 2021
Accelerated Gradient Descent Learning over Multiple Access Fading Channels Raz Paul Yuval Friedman Kobi Cohen 27 30 0 26 Jul 2021
Device Scheduling and Update Aggregation Policies for Asynchronous Federated Learning Chung-Hsuan Hu Zheng Chen Erik G. Larsson FedML 23 29 0 23 Jul 2021
Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 19 14 0 22 Jul 2021
Relay-Assisted Cooperative Federated Learning Zehong Lin Hang Liu Y. Zhang 16 42 0 20 Jul 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 187 412 0 14 Jul 2021
Survey: Leakage and Privacy at Inference Time Marija Jegorova Chaitanya Kaul Charlie Mayor Alison Q. OÑeil Alexander Weir Roderick Murray-Smith Sotirios A. Tsaftaris PILM MIACV 21 71 0 04 Jul 2021
Local-Global Knowledge Distillation in Heterogeneous Federated Learning with Non-IID Data Dezhong Yao Wanning Pan Yutong Dai Yao Wan Xiaofeng Ding Hai Jin Zheng Xu Lichao Sun FedML 28 49 0 30 Jun 2021
Personalized Federated Learning with Gaussian Processes Idan Achituve Aviv Shamsian Aviv Navon Gal Chechik Ethan Fetaya FedML 32 99 0 29 Jun 2021