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
Symbolic analysis meets federated learning to enhance malware identifier Khanh-Huu-The Dam Charles-Henry Bertrand Van Ouytsel Axel Legay FedML 29 5 0 29 Apr 2022
AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation Farshid Varno Marzie Saghayi Laya Rafiee Sharut Gupta Stan Matwin Mohammad Havaei FedML 34 30 0 27 Apr 2022
Federated Learning via Inexact ADMM Shenglong Zhou Geoffrey Ye Li FedML 24 58 0 22 Apr 2022
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity Yuexiang Xie Zhen Wang Dawei Gao Daoyuan Chen Liuyi Yao Weirui Kuang Yaliang Li Bolin Ding Jingren Zhou FedML 21 88 0 11 Apr 2022
Peekaboo: A Hub-Based Approach to Enable Transparency in Data Processing within Smart Homes (Extended Technical Report) Haojian Jin Gram Liu David Hwang Swarun Kumar Yuvraj Agarwal Jason I. Hong 11 17 0 09 Apr 2022
Distributed Evolution Strategies for Black-box Stochastic Optimization Xiaoyu He Zibin Zheng Chuan Chen Yuren Zhou Chuan Luo Qingwei Lin 29 4 0 09 Apr 2022
FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity Yonghai Gong Yichuan Li N. Freris FedML 16 45 0 07 Apr 2022
DeFTA: A Plug-and-Play Decentralized Replacement for FedAvg Yuhao Zhou M. Shi Yuxin Tian Qing Ye Jiancheng Lv FedML 19 2 0 06 Apr 2022
Byzantine-Robust Federated Linear Bandits Ali Jadbabaie Haochuan Li Jian Qian Yi Tian FedML 26 12 0 03 Apr 2022
Scaling Language Model Size in Cross-Device Federated Learning Jae Hun Ro Theresa Breiner Lara McConnaughey Mingqing Chen A. Suresh Shankar Kumar Rajiv Mathews FedML 26 24 0 31 Mar 2022
Over-the-Air Federated Learning via Second-Order Optimization Peng Yang Yuning Jiang Ting Wang Yong Zhou Yuanming Shi Colin N. Jones 45 28 0 29 Mar 2022
Addressing Client Drift in Federated Continual Learning with Adaptive Optimization Yeshwanth Venkatesha Youngeun Kim Hyoungseob Park Yuhang Li Priyadarshini Panda FedML 11 7 0 24 Mar 2022
FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction Liang Gao Huazhu Fu Li Li Yingwen Chen Minghua Xu Chengzhong Xu FedML 40 242 0 22 Mar 2022
FGAN: Federated Generative Adversarial Networks for Anomaly Detection in Network Traffic Sankha Das AAML 14 5 0 21 Mar 2022
Speaker Information Can Guide Models to Better Inductive Biases: A Case Study On Predicting Code-Switching Alissa Ostapenko S. Wintner Melinda Fricke Yulia Tsvetkov 37 5 0 16 Mar 2022
The Role of Local Steps in Local SGD Tiancheng Qin S. Rasoul Etesami César A. Uribe 21 4 0 14 Mar 2022
Wireless Quantized Federated Learning: A Joint Computation and Communication Design Pavlos S. Bouzinis P. Diamantoulakis G. Karagiannidis MQ FedML 31 31 0 11 Mar 2022
No Free Lunch Theorem for Security and Utility in Federated Learning Xiaojin Zhang Hanlin Gu Lixin Fan Kai Chen Qiang Yang FedML 16 64 0 11 Mar 2022
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms Pranay Sharma Rohan Panda Gauri Joshi P. Varshney FedML 21 47 0 09 Mar 2022
Personalized Federated Learning with Exact Stochastic Gradient Descent Sotirios Nikoloutsopoulos I. Koutsopoulos Michalis K. Titsias FedML 31 9 0 20 Feb 2022
PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networks Xingjian Cao Gang Sun Hongfang Yu Mohsen Guizani FedML 24 56 0 18 Feb 2022
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning Chuan Ma Jun Li Kang Wei Bo Liu Ming Ding Long Yuan Zhu Han H. Vincent Poor 54 42 0 18 Feb 2022
LAMP: Extracting Text from Gradients with Language Model Priors Mislav Balunović Dimitar I. Dimitrov Nikola Jovanović Martin Vechev 19 57 0 17 Feb 2022
Towards Verifiable Federated Learning Yanci Zhang Hanyou Yu FedML 19 21 0 15 Feb 2022
An Improved Analysis of Gradient Tracking for Decentralized Machine Learning Anastasia Koloskova Tao R. Lin Sebastian U. Stich 20 105 0 08 Feb 2022
Addressing modern and practical challenges in machine learning: A survey of online federated and transfer learning Shuang Dai Fanlin Meng FedML OnRL 40 21 0 07 Feb 2022
Applications of Machine Learning in Healthcare and Internet of Things (IOT): A Comprehensive Review F. Mohammadi Farzan Shenavarmasouleh H. Arabnia 32 16 0 06 Feb 2022
Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning L. P. Barnes Alex Dytso H. V. Poor FedML 41 16 0 04 Feb 2022
3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation Peter Richtárik Igor Sokolov Ilyas Fatkhullin Elnur Gasanov Zhize Li Eduard A. Gorbunov 23 31 0 02 Feb 2022
Towards a Secure and Reliable Federated Learning using Blockchain Hajar Moudoud Soumaya Cherkaoui L. Khoukhi 21 32 0 27 Jan 2022
Data-Quality Based Scheduling for Federated Edge Learning Afaf Taik Hajar Moudoud Soumaya Cherkaoui 28 18 0 27 Jan 2022
Server-Side Stepsizes and Sampling Without Replacement Provably Help in Federated Optimization Grigory Malinovsky Konstantin Mishchenko Peter Richtárik FedML 17 24 0 26 Jan 2022
Minimax Demographic Group Fairness in Federated Learning Afroditi Papadaki Natalia Martínez Martín Bertrán Guillermo Sapiro Miguel R. D. Rodrigues FaML FedML 16 43 0 20 Jan 2022
Caring Without Sharing: A Federated Learning Crowdsensing Framework for Diversifying Representation of Cities Mi-Gyoung Cho A. Mashhadi FedML 36 1 0 20 Jan 2022
Demystifying Swarm Learning: A New Paradigm of Blockchain-based Decentralized Federated Learning Jialiang Han Y. Ma Yudong Han 51 15 0 14 Jan 2022
Integrating Human-in-the-loop into Swarm Learning for Decentralized Fake News Detection Xishuang Dong Lijun Qian 20 9 0 04 Jan 2022
APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers Jiahao Lu Xi Sheryl Zhang Tianli Zhao Xiangyu He Jian Cheng ViT PILM 25 22 0 28 Dec 2021
AET-SGD: Asynchronous Event-triggered Stochastic Gradient Descent Nhuong V. Nguyen Song Han 21 2 0 27 Dec 2021
Over-the-Air Federated Multi-Task Learning Over MIMO Multiple Access Channels Chen Zhong Huiyuan Yang Xiaojun Yuan 35 28 0 27 Dec 2021
Wireless-Enabled Asynchronous Federated Fourier Neural Network for Turbulence Prediction in Urban Air Mobility (UAM) Tengchan Zeng Omid Semiari Walid Saad M. Bennis 34 3 0 26 Dec 2021
Faster Rates for Compressed Federated Learning with Client-Variance Reduction Haoyu Zhao Konstantin Burlachenko Zhize Li Peter Richtárik FedML 27 13 0 24 Dec 2021
Personalized On-Device E-health Analytics with Decentralized Block Coordinate Descent Guanhua Ye Hongzhi Yin Tong Chen Miao Xu Quoc Viet Hung Nguyen Jiangning Song 41 9 0 17 Dec 2021
LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization Huiming Chen Huandong Wang Quanming Yao Yong Li Depeng Jin Qiang Yang FedML 24 4 0 15 Dec 2021
On the Security & Privacy in Federated Learning Gorka Abad S. Picek Víctor Julio Ramírez-Durán A. Urbieta 44 11 0 10 Dec 2021
PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical records Tianyi Zhang Shirui Zhang Ziwei Chen Dianbo Liu FedML 28 4 0 10 Dec 2021
Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression François Gauthier Vinay Chakravarthi Gogineni Stefan Werner Yih-Fang Huang A. Kuh FedML 16 9 0 27 Nov 2021
FedDropoutAvg: Generalizable federated learning for histopathology image classification G. N. Gunesli M. Bilal S. Raza Nasir M. Rajpoot FedML OOD 22 20 0 25 Nov 2021
Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective Xuezhen Tu Kun Zhu Nguyen Cong Luong Dusit Niyato Yang Zhang Juan Li FedML AI4CE 35 119 0 20 Nov 2021
Training Neural Networks with Fixed Sparse Masks Yi-Lin Sung Varun Nair Colin Raffel FedML 32 197 0 18 Nov 2021
FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps Xiaopeng Jiang Han Hu Vijaya Datta Mayyuri An M. Chen D. Shila Adriaan Larmuseau Ruoming Jin Cristian Borcea Nhathai Phan FedML 20 11 0 17 Nov 2021