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
Federated learning for secure development of AI models for Parkinson's disease detection using speech from different languages Soroosh Tayebi Arasteh C. D. Ríos-Urrego E. Noeth Andreas K. Maier Seung Hee Yang J. Rusz J. Orozco-Arroyave FedML 37 13 0 18 May 2023
Federated TD Learning over Finite-Rate Erasure Channels: Linear Speedup under Markovian Sampling Nicolò Dal Fabbro A. Mitra George J. Pappas FedML 35 12 0 14 May 2023
Multi-Tier Client Selection for Mobile Federated Learning Networks Yulan Gao Yansong Zhao Han Yu FedML 19 6 0 11 May 2023
FedSOV: Federated Model Secure Ownership Verification with Unforgeable Signature Wenyuan Yang Gongxi Zhu Yuguo Yin Hanlin Gu Lixin Fan Qiang Yang Xiaochun Cao FedML 11 6 0 10 May 2023
FedZKP: Federated Model Ownership Verification with Zero-knowledge Proof Wenyuan Yang Yuguo Yin Gongxi Zhu Hanlin Gu Lixin Fan Xiaochun Cao Qiang Yang FedML 16 8 0 08 May 2023
Towards Achieving Near-optimal Utility for Privacy-Preserving Federated Learning via Data Generation and Parameter Distortion Xiaojin Zhang Kai Chen Qian Yang FedML 19 5 0 07 May 2023
Gradient Leakage Defense with Key-Lock Module for Federated Learning Hanchi Ren Jingjing Deng Xianghua Xie Xiaoke Ma J. Ma FedML 34 2 0 06 May 2023
FedAVO: Improving Communication Efficiency in Federated Learning with African Vultures Optimizer Md Zarif Hossain Ahmed Imteaj FedML 29 5 0 02 May 2023
Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning Manaar Alam Hithem Lamri Michail Maniatakos FedML AAML MU 24 14 0 20 Apr 2023
Model Pruning Enables Localized and Efficient Federated Learning for Yield Forecasting and Data Sharing An-dong Li Milan Markovic P. Edwards Georgios Leontidis FedML 24 16 0 19 Apr 2023
Joint Age-based Client Selection and Resource Allocation for Communication-Efficient Federated Learning over NOMA Networks Bibo Wu Fang Fang Xianbin Wang 38 19 0 18 Apr 2023
SalientGrads: Sparse Models for Communication Efficient and Data Aware Distributed Federated Training Riyasat Ohib Bishal Thapaliya Pratyush Gaggenapalli Jiaheng Liu Vince D. Calhoun Sergey Plis FedML 21 2 0 15 Apr 2023
Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning G. Legate Lucas Caccia Eugene Belilovsky FedML 34 10 0 11 Apr 2023
A Game-theoretic Framework for Privacy-preserving Federated Learning Xiaojin Zhang Lixin Fan Si-Yi Wang Wenjie Li Kai Chen Qiang Yang FedML 21 4 0 11 Apr 2023
Balancing Privacy and Performance for Private Federated Learning Algorithms Xiangjiang Hou Sarit Khirirat Mohammad Yaqub Samuel Horváth FedML 25 0 0 11 Apr 2023
Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning R. Behnia Mohammadreza Ebrahimi Arman Riasi Sherman S. M. Chow B. Padmanabhan Thang Hoang 21 6 0 07 Apr 2023
PopulAtion Parameter Averaging (PAPA) Alexia Jolicoeur-Martineau Emy Gervais Kilian Fatras Yan Zhang Simon Lacoste-Julien MoMe 40 17 0 06 Apr 2023
CoDeC: Communication-Efficient Decentralized Continual Learning Sakshi Choudhary Sai Aparna Aketi Gobinda Saha Kaushik Roy CLL 50 3 0 27 Mar 2023
Asynchronous Online Federated Learning with Reduced Communication Requirements François Gauthier Vinay Chakravarthi Gogineni Stefan Werner Yih-Fang Huang A. Kuh 17 6 0 27 Mar 2023
A Generalized Look at Federated Learning: Survey and Perspectives Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae Zhaohui Yang OOD FedML 42 0 0 26 Mar 2023
FS-Real: Towards Real-World Cross-Device Federated Learning Daoyuan Chen Dawei Gao Yuexiang Xie Xuchen Pan Zitao Li Yaliang Li Bolin Ding Jingren Zhou 117 26 0 23 Mar 2023
A Survey on Class Imbalance in Federated Learning Jing Zhang Chuanwen Li Jianzgong Qi Jiayuan He FedML 47 13 0 21 Mar 2023
An Empirical Evaluation of Federated Contextual Bandit Algorithms Alekh Agarwal H. B. McMahan Zheng Xu FedML 34 2 0 17 Mar 2023
MODIFY: Model-driven Face Stylization without Style Images Yuhe Ding Jian Liang Jie Cao A. Zheng Ran He CVBM 28 2 0 17 Mar 2023
Comparative Evaluation of Data Decoupling Techniques for Federated Machine Learning with Database as a Service Muhammad Jahanzeb Khan Rui Hu Mohammad Sadoghi Dongfang Zhao FedML 13 0 0 15 Mar 2023
Privacy-Preserving Cooperative Visible Light Positioning for Nonstationary Environment: A Federated Learning Perspective Tiankuo Wei Sicong Liu 13 1 0 11 Mar 2023
FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection Yingguang Yang Renyu Yang Hao Peng Yangyang Li Tong Li Yong Liao Pengyuan Zhou FedML 45 28 0 10 Mar 2023
Considerations on the Theory of Training Models with Differential Privacy Marten van Dijk Phuong Ha Nguyen FedML 8 2 0 08 Mar 2023
A Privacy Preserving System for Movie Recommendations Using Federated Learning David Neumann Andreas Lutz Karsten Müller Wojciech Samek 20 10 0 07 Mar 2023
CADeSH: Collaborative Anomaly Detection for Smart Homes Yair Meidan D. Avraham H. Libhaber A. Shabtai 19 8 0 02 Mar 2023
Advancements in Federated Learning: Models, Methods, and Privacy Hui Chen Huandong Wang Qingyue Long Depeng Jin Yong Li FedML 38 14 0 22 Feb 2023
Federated Gradient Matching Pursuit Halyun Jeong Deanna Needell Jing Qin FedML 37 1 0 20 Feb 2023
TAMUNA: Doubly Accelerated Distributed Optimization with Local Training, Compression, and Partial Participation Laurent Condat Ivan Agarský Grigory Malinovsky Peter Richtárik FedML 31 4 0 20 Feb 2023
SplitOut: Out-of-the-Box Training-Hijacking Detection in Split Learning via Outlier Detection Ege Erdogan Unat Teksen Mehmet Salih Celiktenyildiz Alptekin Kupcu A. E. Cicek 46 4 0 16 Feb 2023
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation Peiyao Xiao Kaiyi Ji FedML 32 10 0 09 Feb 2023
Offsite-Tuning: Transfer Learning without Full Model Guangxuan Xiao Ji Lin Song Han 37 67 0 09 Feb 2023
NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors Taehyung Kwon Jihoon Ko Jinhong Jung Kijung Shin 15 7 0 09 Feb 2023
Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models Yingchun Wang Jingcai Guo Jie Zhang Song Guo Weizhan Zhang Qinghua Zheng FedML 24 11 0 09 Feb 2023
Federated Minimax Optimization with Client Heterogeneity Pranay Sharma Rohan Panda Gauri Joshi FedML 35 9 0 08 Feb 2023
Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach Han Guo P. Greengard Hongyi Wang Andrew Gelman Yoon Kim Eric P. Xing FedML 21 20 0 08 Feb 2023
Exploratory Analysis of Federated Learning Methods with Differential Privacy on MIMIC-III Aron N. Horvath Matteo Berchier Farhad Nooralahzadeh Ahmed Allam Michael Krauthammer FedML 15 2 0 08 Feb 2023
Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity Han Wang A. Mitra Hamed Hassani George J. Pappas James Anderson FedML 29 21 0 04 Feb 2023
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging Soroosh Tayebi Arasteh Alexander Ziller Christiane Kuhl Marcus R. Makowski S. Nebelung R. Braren Daniel Rueckert Daniel Truhn Georgios Kaissis MedIm 37 17 0 03 Feb 2023
DoCoFL: Downlink Compression for Cross-Device Federated Learning Ron Dorfman S. Vargaftik Y. Ben-Itzhak Kfir Y. Levy FedML 26 18 0 01 Feb 2023
FLSTRA: Federated Learning in Stratosphere A. Farajzadeh Animesh Yadav Omid Abbasi Wael Jaafar H. Yanikomeroglu 35 4 0 01 Feb 2023
G-Rank: Unsupervised Continuous Learn-to-Rank for Edge Devices in a P2P Network Andrew Gold J. Pouwelse 36 3 0 29 Jan 2023
FedHQL: Federated Heterogeneous Q-Learning Flint Xiaofeng Fan Yining Ma Zhongxiang Dai Cheston Tan Bryan Kian Hsiang Low Roger Wattenhofer FedML 24 7 0 26 Jan 2023
When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning Wenkai Yang Yankai Lin Guangxiang Zhao Peng Li Jie Zhou Xu Sun FedML 14 2 0 25 Jan 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 53 121 0 17 Jan 2023
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 45 73 0 11 Jan 2023