Federated Optimization: Distributed Machine Learning for On-Device Intelligence

8 October 2016

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

50 / 733 papers shown

Title
Federated Learning for Energy Constrained IoT devices: A systematic mapping study Rachid El Mokadem Yann Ben Maissa Zineb El Akkaoui 26 8 0 09 Jan 2023
Securely Aggregated Coded Matrix Inversion Neophytos Charalambides Mert Pilanci Alfred Hero FedML 15 3 0 09 Jan 2023
Differentially Private Federated Clustering over Non-IID Data Yiwei Li Shuai Wang Chong-Yung Chi Tony Q. S. Quek FedML 33 12 0 03 Jan 2023
Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning A. Mitra George J. Pappas Hamed Hassani 19 12 0 03 Jan 2023
Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics Yahao Ding Zhaohui Yang Viet Quoc Pham Zhaoyang Zhang M. Shikh-Bahaei 31 31 0 03 Jan 2023
Can 5th Generation Local Training Methods Support Client Sampling? Yes! Michal Grudzieñ Grigory Malinovsky Peter Richtárik 24 29 0 29 Dec 2022
Federated Learning -- Methods, Applications and beyond Moritz Heusinger Christoph Raab Fabrice Rossi Frank-Michael Schleif FedML OOD 13 5 0 22 Dec 2022
Scheduling and Aggregation Design for Asynchronous Federated Learning over Wireless Networks Chung-Hsuan Hu Zheng Chen Erik G. Larsson 27 64 0 14 Dec 2022
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation Ziqing Fan Yanfeng Wang Jiangchao Yao Lingjuan Lyu Ya-Qin Zhang Qinghua Tian FedML 21 20 0 14 Dec 2022
Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning Chenhe Dong Yuexiang Xie Bolin Ding Ying Shen Yaliang Li FedML 24 5 0 12 Dec 2022
PaDPaF: Partial Disentanglement with Partially-Federated GANs Abdulla Jasem Almansoori Samuel Horváth Martin Takáč FedML 23 0 0 07 Dec 2022
Reconstructing Training Data from Model Gradient, Provably Zihan Wang Jason D. Lee Qi Lei FedML 32 24 0 07 Dec 2022
Federated Neural Topic Models Lorena Calvo-Bartolomé Jerónimo Arenas-García FedML 17 0 0 05 Dec 2022
On the effectiveness of partial variance reduction in federated learning with heterogeneous data Bo-wen Li Mikkel N. Schmidt T. S. Alstrøm Sebastian U. Stich FedML 37 9 0 05 Dec 2022
Distributed Stochastic Gradient Descent with Cost-Sensitive and Strategic Agents Abdullah Basar Akbay C. Tepedelenlioğlu FedML 10 0 0 05 Dec 2022
Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework Shuai Wang Yanqing Xu Z. Wang Tsung-Hui Chang Tony Q. S. Quek Defeng Sun FedML 25 9 0 03 Dec 2022
On the Energy and Communication Efficiency Tradeoffs in Federated and Multi-Task Learning S. Savazzi V. Rampa Sanaz Kianoush M. Bennis 24 1 0 02 Dec 2022
PiPar: Pipeline Parallelism for Collaborative Machine Learning Zihan Zhang Philip Rodgers Peter Kilpatrick I. Spence Blesson Varghese FedML 43 3 0 01 Dec 2022
AquaFeL-PSO: A Monitoring System for Water Resources using Autonomous Surface Vehicles based on Multimodal PSO and Federated Learning Micaela Jara Ten Kathen Princy A. Johnson Isabel Jurado Flores Daniel Gutiérrez-Reina 12 2 0 28 Nov 2022
FedSysID: A Federated Approach to Sample-Efficient System Identification Han Wang Leonardo F. Toso James Anderson FedML 24 17 0 25 Nov 2022
Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labels Soroosh Tayebi Arasteh P. Isfort Marwin Saehn Gustav Mueller-Franzes Firas Khader Jakob Nikolas Kather Christiane Kuhl S. Nebelung Daniel Truhn FedML 32 15 0 24 Nov 2022
Knowledge-Aware Federated Active Learning with Non-IID Data Yu Cao Ye-ling Shi Baosheng Yu Jingya Wang Dacheng Tao FedML 21 17 0 24 Nov 2022
Towards federated multivariate statistical process control (FedMSPC) Du Nguyen Duy David Gabauer Ramin Nikzad‐Langerodi 8 3 0 03 Nov 2022
A Convergence Theory for Federated Average: Beyond Smoothness Xiaoxiao Li Zhao-quan Song Runzhou Tao Guangyi Zhang FedML 32 5 0 03 Nov 2022
FL Games: A Federated Learning Framework for Distribution Shifts Sharut Gupta Kartik Ahuja Mohammad Havaei N. Chatterjee Yoshua Bengio OOD FedML 23 18 0 31 Oct 2022
Evaluation and comparison of federated learning algorithms for Human Activity Recognition on smartphones Sannara Ek François Portet P. Lalanda Germán Vega FedML 33 11 0 30 Oct 2022
Federated Learning based Energy Demand Prediction with Clustered Aggregation Ye Lin Tun K. Thar Chu Myaet Thwal Choong Seon Hong 13 57 0 28 Oct 2022
Addressing Heterogeneity in Federated Learning via Distributional Transformation Haolin Yuan Bo Hui Yuchen Yang Philippe Burlina Neil Zhenqiang Gong Yinzhi Cao FedML OOD 40 13 0 26 Oct 2022
FeDXL: Provable Federated Learning for Deep X-Risk Optimization Zhishuai Guo R. L. Jin Jiebo Luo Tianbao Yang FedML 47 8 0 26 Oct 2022
Provably Doubly Accelerated Federated Learning: The First Theoretically Successful Combination of Local Training and Communication Compression Laurent Condat Ivan Agarský Peter Richtárik FedML 32 16 0 24 Oct 2022
On-Demand Sampling: Learning Optimally from Multiple Distributions Nika Haghtalab Michael I. Jordan Eric Zhao FedML 50 34 0 22 Oct 2022
An Improved Algorithm for Clustered Federated Learning Harsh Vardhan A. Ghosh A. Mazumdar FedML 34 8 0 20 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey Huiyun Cao Wenlong Zou Yinkun Wang Ting Song Mengjun Liu AAML 54 4 0 19 Oct 2022
FLECS-CGD: A Federated Learning Second-Order Framework via Compression and Sketching with Compressed Gradient Differences A. Agafonov Brahim Erraji Martin Takáč FedML 35 4 0 18 Oct 2022
CrowdGuard: Federated Backdoor Detection in Federated Learning Phillip Rieger T. Krauß Markus Miettinen Alexandra Dmitrienko Ahmad-Reza Sadeghi Technical University Darmstadt AAML FedML 29 22 0 14 Oct 2022
A Survey on Heterogeneous Federated Learning Dashan Gao Xin Yao Qian Yang FedML 30 58 0 10 Oct 2022
Communication-Efficient and Drift-Robust Federated Learning via Elastic Net Seonhyeon Kim Jiheon Woo Daewon Seo Yongjune Kim FedML 39 1 0 06 Oct 2022
Group Personalized Federated Learning Zhe Liu Yue Hui Fuchun Peng FedML 28 2 0 04 Oct 2022
pMPL: A Robust Multi-Party Learning Framework with a Privileged Party Lushan Song Jiaxuan Wang Zhexuan Wang Xinyu Tu Guopeng Lin Wenqiang Ruan Haoqi Wu Wei Han 19 18 0 02 Oct 2022
Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph Yang Lu Zhengxin Yu N. Suri FedML 24 14 0 01 Oct 2022
Neighborhood Gradient Clustering: An Efficient Decentralized Learning Method for Non-IID Data Distributions Sai Aparna Aketi Sangamesh Kodge Kaushik Roy 22 4 0 28 Sep 2022
An Energy Optimized Specializing DAG Federated Learning based on Event Triggered Communication Xiaofeng Xue Haokun Mao Qiong Li Furong Huang FedML 30 0 0 26 Sep 2022
FedToken: Tokenized Incentives for Data Contribution in Federated Learning Shashi Raj Pandey L. Nguyen P. Popovski FedML 25 10 0 20 Sep 2022
Convergence Acceleration in Wireless Federated Learning: A Stackelberg Game Approach Kaidi Wang Y. Ma Mahdi Boloursaz Mashhadi C. Foh Rahim Tafazolli Z. Ding FedML 50 11 0 14 Sep 2022
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learning Feng Wang M. C. Gursoy Senem Velipasalar 19 2 0 12 Sep 2022
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 255 314 0 11 Sep 2022
Federated Transfer Learning with Multimodal Data Yulian Sun FedML 19 4 0 05 Sep 2022
Versatile Single-Loop Method for Gradient Estimator: First and Second Order Optimality, and its Application to Federated Learning Kazusato Oko Shunta Akiyama Tomoya Murata Taiji Suzuki FedML 41 0 0 01 Sep 2022
Trading Off Privacy, Utility and Efficiency in Federated Learning Xiaojin Zhang Yan Kang Kai Chen Lixin Fan Qiang Yang FedML 19 53 0 01 Sep 2022
Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits Marco Schreyer Timur Sattarov Damian Borth MLAU 29 15 0 26 Aug 2022