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
A Non-parametric View of FedAvg and FedProx: Beyond Stationary Points Lili Su Jiaming Xu Pengkun Yang FedML 14 13 0 29 Jun 2021
Implicit Gradient Alignment in Distributed and Federated Learning Yatin Dandi Luis Barba Martin Jaggi FedML 26 31 0 25 Jun 2021
Federated Noisy Client Learning Huazhu Fu Li Li Bo Han Chengzhong Xu Ling Shao FedML 28 26 0 24 Jun 2021
A Vertical Federated Learning Framework for Graph Convolutional Network Xiang Ni Xiaolong Xu Lingjuan Lyu Changhua Meng Weiqiang Wang FedML 19 36 0 22 Jun 2021
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning Prashant Khanduri Pranay Sharma Haibo Yang Min-Fong Hong Jia Liu K. Rajawat P. Varshney FedML 27 63 0 19 Jun 2021
A Survey of Privacy Vulnerabilities of Mobile Device Sensors Paula Delgado-Santos Giuseppe Stragapede Ruben Tolosana R. Guest F. Deravi R. Vera-Rodríguez PILM 32 45 0 18 Jun 2021
A Vertical Federated Learning Framework for Horizontally Partitioned Labels Wensheng Xia Ying Li Lan Zhang Zhonghai Wu Xiaoyong Yuan FedML 30 11 0 18 Jun 2021
On Large-Cohort Training for Federated Learning Zachary B. Charles Zachary Garrett Zhouyuan Huo Sergei Shmulyian Virginia Smith FedML 21 113 0 15 Jun 2021
Decentralized Personalized Federated Learning for Min-Max Problems Ekaterina Borodich Aleksandr Beznosikov Abdurakhmon Sadiev V. Sushko Nikolay Savelyev Martin Takávc Alexander Gasnikov FedML 24 4 0 14 Jun 2021
Federated Learning Over Wireless Channels: Dynamic Resource Allocation and Task Scheduling Shunfeng Chu Jun Li Jianxin Wang Zhe Wang Ming Ding Yijin Zang Yuwen Qian Wen Chen 23 15 0 13 Jun 2021
Joint Client Scheduling and Resource Allocation under Channel Uncertainty in Federated Learning Madhusanka Manimel Wadu S. Samarakoon M. Bennis 18 51 0 12 Jun 2021
Fast Federated Learning in the Presence of Arbitrary Device Unavailability Xinran Gu Kaixuan Huang Jingzhao Zhang Longbo Huang FedML 35 96 0 08 Jun 2021
Distributed Learning and its Application for Time-Series Prediction Nhuong V. Nguyen Sybille Legitime AI4TS 14 0 0 06 Jun 2021
Preservation of the Global Knowledge by Not-True Distillation in Federated Learning Gihun Lee Minchan Jeong Yongjin Shin Sangmin Bae Se-Young Yun FedML 30 115 0 06 Jun 2021
FedNL: Making Newton-Type Methods Applicable to Federated Learning M. Safaryan Rustem Islamov Xun Qian Peter Richtárik FedML 33 78 0 05 Jun 2021
Meta-HAR: Federated Representation Learning for Human Activity Recognition Chenglin Li Di Niu Bei Jiang Xiao Zuo Jianming Yang 15 84 0 31 May 2021
Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI Ali Raza K. Tran L. Koehl Shujun Li 32 126 0 26 May 2021
Programming and Deployment of Autonomous Swarms using Multi-Agent Reinforcement Learning Jayson G. Boubin Codi Burley Peida Han Bowen Li Barry Porter Christopher Stewart 25 3 0 21 May 2021
The Confluence of Networks, Games and Learning Tao Li Guanze Peng Quanyan Zhu Tamer Basar AI4CE 6 46 0 17 May 2021
Differentially Private Federated Knowledge Graphs Embedding Hao Peng Haoran Li Yangqiu Song V. Zheng Jianxin Li FedML 33 80 0 17 May 2021
Privacy-Preserving Constrained Domain Generalization via Gradient Alignment Chris Xing Tian Haoliang Li Yufei Wang Shiqi Wang 13 4 0 14 May 2021
Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates Laizhong Cui Xiaoxin Su Yipeng Zhou Yi Pan FedML 38 36 0 10 May 2021
Latency Analysis of Consortium Blockchained Federated Learning Pengcheng Ren Tongjiang Yan FedML 8 1 0 10 May 2021
Bounding Information Leakage in Machine Learning Ganesh Del Grosso Georg Pichler C. Palamidessi Pablo Piantanida MIACV FedML 48 10 0 09 May 2021
OCTOPUS: Overcoming Performance andPrivatization Bottlenecks in Distributed Learning Shuo Wang Surya Nepal Kristen Moore M. Grobler Carsten Rudolph A. Abuadbba FedML 34 8 0 03 May 2021
Privacy-Preserving Federated Learning on Partitioned Attributes Shuang Zhang Liyao Xiang Xi Yu Pengzhi Chu Yingqi Chen Chen Cen L. Wang FedML 20 2 0 29 Apr 2021
Confined Gradient Descent: Privacy-preserving Optimization for Federated Learning Yanjun Zhang Guangdong Bai Xue Li Surya Nepal R. Ko FedML 18 2 0 27 Apr 2021
Continual Distributed Learning for Crisis Management Aman Priyanshu Mudit Sinha S. Mehta 31 4 0 26 Apr 2021
A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things Jiehan Zhou Shouhua Zhang Qinghua Lu W. Dai Min Chen Xin Liu Susanna Pirttikangas Yang Shi Weishan Zhang E. Herrera-Viedma FedML AI4CE 23 44 0 21 Apr 2021
See through Gradients: Image Batch Recovery via GradInversion Hongxu Yin Arun Mallya Arash Vahdat J. Álvarez Jan Kautz Pavlo Molchanov FedML 25 460 0 15 Apr 2021
Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework Yuan Gao Jiawei Li Maoguo Gong Yu Xie •. A. K. Qin 19 0 0 14 Apr 2021
Joint Optimization of Communications and Federated Learning Over the Air Xin-Yue Fan Yue Wang Yan Huo Z. Tian FedML 14 54 0 08 Apr 2021
Communication-Efficient Agnostic Federated Averaging Jae Hun Ro Mingqing Chen Rajiv Mathews M. Mohri A. Suresh FedML 19 17 0 06 Apr 2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges Mingzhe Chen Deniz Gündüz Kaibin Huang Walid Saad M. Bennis Aneta Vulgarakis Feljan H. Vincent Poor 38 401 0 05 Apr 2021
Certifiably-Robust Federated Adversarial Learning via Randomized Smoothing Cheng Chen B. Kailkhura R. Goldhahn Yi Zhou AAML FedML 14 15 0 30 Mar 2021
Vulnerability Due to Training Order in Split Learning Harshit Madaan M. Gawali V. Kulkarni Aniruddha Pant FedML 24 6 0 26 Mar 2021
Real-time End-to-End Federated Learning: An Automotive Case Study Hongyi Zhang J. Bosch Helena Holmström Olsson FedML 16 39 0 22 Mar 2021
A Framework for Energy and Carbon Footprint Analysis of Distributed and Federated Edge Learning S. Savazzi Sanaz Kianoush V. Rampa M. Bennis 24 14 0 18 Mar 2021
Escaping Saddle Points in Distributed Newton's Method with Communication Efficiency and Byzantine Resilience Avishek Ghosh R. Maity A. Mazumdar Kannan Ramchandran FedML 14 5 0 17 Mar 2021
Deep Learning-based Patient Re-identification Is able to Exploit the Biometric Nature of Medical Chest X-ray Data Kai Packhauser Sebastian Gündel Nicolas Münster Christopher Syben Vincent Christlein Andreas Maier OOD 14 47 0 15 Mar 2021
Private Cross-Silo Federated Learning for Extracting Vaccine Adverse Event Mentions Pallika H. Kanani Virendra J. Marathe Daniel W. Peterson R. Harpaz Steve Bright FedML 16 9 0 12 Mar 2021
Multi-Task Federated Reinforcement Learning with Adversaries Aqeel Anwar A. Raychowdhury AAML FedML 13 20 0 11 Mar 2021
FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation Cosmin I. Bercea Benedikt Wiestler Daniel Rueckert Shadi Albarqouni FedML OOD 20 38 0 05 Mar 2021
FedDR -- Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization Quoc Tran-Dinh Nhan H. Pham Dzung Phan Lam M. Nguyen FedML 24 39 0 05 Mar 2021
Temporal-Structure-Assisted Gradient Aggregation for Over-the-Air Federated Edge Learning Dian Fan Xiaojun Yuan Y. Zhang FedML 13 24 0 03 Mar 2021
Cross-Gradient Aggregation for Decentralized Learning from Non-IID data Yasaman Esfandiari Sin Yong Tan Zhanhong Jiang Aditya Balu Ethan Herron C. Hegde S. Sarkar OOD 22 50 0 02 Mar 2021
Blockchain-Based Federated Learning in Mobile Edge Networks with Application in Internet of Vehicles Rui-cang Wang Heju Li Erwu Liu 13 11 0 01 Mar 2021
Local Stochastic Gradient Descent Ascent: Convergence Analysis and Communication Efficiency Yuyang Deng M. Mahdavi 30 59 0 25 Feb 2021
Preserved central model for faster bidirectional compression in distributed settings Constantin Philippenko Aymeric Dieuleveut 27 30 0 24 Feb 2021
A Quantitative Metric for Privacy Leakage in Federated Learning Y. Liu Xinghua Zhu Jianzong Wang Jing Xiao FedML 21 22 0 24 Feb 2021