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
XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning Myungjae Shin Chihoon Hwang Joongheon Kim Jihong Park M. Bennis Seong-Lyun Kim FedML 22 108 0 09 Jun 2020
An Efficient Framework for Clustered Federated Learning Avishek Ghosh Jichan Chung Dong Yin Kannan Ramchandran FedML 24 836 0 07 Jun 2020
Efficient Replication for Straggler Mitigation in Distributed Computing Amir Behrouzi-Far E. Soljanin 4 14 0 03 Jun 2020
Global Multiclass Classification and Dataset Construction via Heterogeneous Local Experts Surin Ahn Ayfer Özgür Mert Pilanci 11 0 0 21 May 2020
rTop-k: A Statistical Estimation Approach to Distributed SGD L. P. Barnes Huseyin A. Inan Berivan Isik Ayfer Özgür 32 65 0 21 May 2020
Scalable Privacy-Preserving Distributed Learning D. Froelicher J. Troncoso-Pastoriza Apostolos Pyrgelis Sinem Sav João Sá Sousa Jean-Philippe Bossuat Jean-Pierre Hubaux FedML 16 68 0 19 May 2020
Scaling-up Distributed Processing of Data Streams for Machine Learning M. Nokleby Haroon Raja W. Bajwa 6 15 0 18 May 2020
Byzantine-Resilient SGD in High Dimensions on Heterogeneous Data Deepesh Data Suhas Diggavi FedML 15 37 0 16 May 2020
Efficient Federated Learning over Multiple Access Channel with Differential Privacy Constraints Amir Sonee Stefano Rini 11 16 0 15 May 2020
A Federated Learning Framework for Healthcare IoT devices Binhang Yuan Song Ge Wenhui Xing FedML OOD 15 64 0 07 May 2020
Distributed Stochastic Non-Convex Optimization: Momentum-Based Variance Reduction Prashant Khanduri Pranay Sharma Swatantra Kafle Saikiran Bulusu K. Rajawat P. Varshney 19 6 0 01 May 2020
6G White Paper on Edge Intelligence Ella Peltonen M. Bennis M. Capobianco Merouane Debbah Aaron Yi Ding ... S. Samarakoon K. Seppänen Paweł Sroka Sasu Tarkoma Tingting Yang 18 137 0 30 Apr 2020
A Review of Privacy-preserving Federated Learning for the Internet-of-Things Christopher Briggs Zhong Fan Péter András 25 14 0 24 Apr 2020
Federated Stochastic Gradient Langevin Dynamics Khaoula El Mekkaoui Diego Mesquita P. Blomstedt Samuel Kaski FedML 19 24 0 23 Apr 2020
Data Poisoning Attacks on Federated Machine Learning Gan Sun Yang Cong Jiahua Dong Qiang Wang Ji Liu FedML AAML 6 201 0 19 Apr 2020
Communication Efficient Federated Learning with Energy Awareness over Wireless Networks Richeng Jin Xiaofan He H. Dai 36 25 0 15 Apr 2020
Lightwave Power Transfer for Federated Learning-based Wireless Networks Ha-Vu Tran Georges Kaddoum H. Elgala C. Abou-Rjeily H. Kaushal 6 26 0 11 Apr 2020
Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective Jie Xu Heqiang Wang 19 348 0 09 Apr 2020
Federated Multi-view Matrix Factorization for Personalized Recommendations Adrian Flanagan Were Oyomno A. Grigorievskiy K. E. Tan Suleiman A. Khan Muhammad Ammad-ud-din FedML 6 69 0 08 Apr 2020
Differentially Private Federated Learning for Resource-Constrained Internet of Things Rui Hu Yuanxiong Guo E. Ratazzi Yanmin Gong FedML 30 17 0 28 Mar 2020
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates Anastasia Koloskova Nicolas Loizou Sadra Boreiri Martin Jaggi Sebastian U. Stich FedML 41 493 0 23 Mar 2020
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,707 0 18 Mar 2020
Ternary Compression for Communication-Efficient Federated Learning Jinjin Xu W. Du Ran Cheng Wangli He Yaochu Jin MQ FedML 42 174 0 07 Mar 2020
Scalable Learning Paradigms for Data-Driven Wireless Communication Yue Xu Feng Yin Wenjun Xu Chia-han Lee Jiaru Lin Shuguang Cui 17 25 0 01 Mar 2020
Federated Over-Air Subspace Tracking from Incomplete and Corrupted Data Praneeth Narayanamurthy Namrata Vaswani Aditya Ramamoorthy 6 10 0 28 Feb 2020
An On-Device Federated Learning Approach for Cooperative Model Update between Edge Devices Rei Ito Mineto Tsukada Hiroki Matsutani FedML 19 7 0 27 Feb 2020
HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning Siqi Luo Xu Chen Qiong Wu Zhi Zhou Shuai Yu FedML 27 339 0 26 Feb 2020
Three Approaches for Personalization with Applications to Federated Learning Yishay Mansour M. Mohri Jae Hun Ro A. Suresh FedML 45 565 0 25 Feb 2020
Adaptive Sampling Distributed Stochastic Variance Reduced Gradient for Heterogeneous Distributed Datasets Ilqar Ramazanli Han Nguyen Hai Pham Sashank J. Reddi Barnabás Póczós 15 11 0 20 Feb 2020
Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms Tengchan Zeng Omid Semiari Mohammad Mozaffari Mingzhe Chen Walid Saad M. Bennis FedML 14 148 0 19 Feb 2020
Federated Extra-Trees with Privacy Preserving Yang Liu Mingxi Chen Wenxi Zhang Junbo Zhang Yu Zheng FedML 18 3 0 18 Feb 2020
Federated Matrix Factorization: Algorithm Design and Application to Data Clustering Shuai Wang Tsung-Hui Chang FedML 11 5 0 12 Feb 2020
Federated Learning of a Mixture of Global and Local Models Filip Hanzely Peter Richtárik FedML 8 378 0 10 Feb 2020
MDLdroid: a ChainSGD-reduce Approach to Mobile Deep Learning for Personal Mobile Sensing Yu Zhang Tao Gu Xi Zhang FedML 14 21 0 07 Feb 2020
From Data to Actions in Intelligent Transportation Systems: a Prescription of Functional Requirements for Model Actionability I. Laña J. S. Medina E. Vlahogianni Javier Del Ser 30 51 0 06 Feb 2020
Multi-Participant Multi-Class Vertical Federated Learning Siwei Feng Han Yu FedML 22 88 0 30 Jan 2020
Convergence Time Optimization for Federated Learning over Wireless Networks Mingzhe Chen H. Vincent Poor Walid Saad Shuguang Cui 22 295 0 22 Jan 2020
Think Locally, Act Globally: Federated Learning with Local and Global Representations Paul Pu Liang Terrance Liu Liu Ziyin Nicholas B. Allen Randy P. Auerbach David Brent Ruslan Salakhutdinov Louis-Philippe Morency FedML 32 548 0 06 Jan 2020
Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks Zhaoxian Wu Qing Ling Tianyi Chen G. Giannakis FedML AAML 32 181 0 29 Dec 2019
Federated Learning with Cooperating Devices: A Consensus Approach for Massive IoT Networks S. Savazzi M. Nicoli V. Rampa FedML 13 305 0 27 Dec 2019
Distributed Fixed Point Methods with Compressed Iterates Sélim Chraibi Ahmed Khaled D. Kovalev Peter Richtárik Adil Salim Martin Takávc FedML 9 16 0 20 Dec 2019
Asynchronous Federated Learning with Differential Privacy for Edge Intelligence Yanan Li Shusen Yang Xuebin Ren Cong Zhao FedML 19 33 0 17 Dec 2019
Private Federated Learning with Domain Adaptation Daniel W. Peterson Pallika H. Kanani Virendra J. Marathe FedML 13 81 0 13 Dec 2019
Parallel Restarted SPIDER -- Communication Efficient Distributed Nonconvex Optimization with Optimal Computation Complexity Pranay Sharma Swatantra Kafle Prashant Khanduri Saikiran Bulusu K. Rajawat P. Varshney FedML 31 17 0 12 Dec 2019
Representation of Federated Learning via Worst-Case Robust Optimization Theory S. Parsaeefard Iman Tabrizian A. Leon-Garcia FedML 8 3 0 11 Dec 2019
Privacy-Preserving Blockchain Based Federated Learning with Differential Data Sharing Anudit Nagar 11 21 0 10 Dec 2019
Distributed Machine Learning with Sparse Heterogeneous Data Dominic Richards S. Negahban Patrick Rebeschini FedML 16 6 0 03 Dec 2019
Preserving Patient Privacy while Training a Predictive Model of In-hospital Mortality Pulkit Sharma Farah E. Shamout David A. Clifton 17 25 0 01 Dec 2019
Free-riders in Federated Learning: Attacks and Defenses Jierui Lin Min Du Jian-Dong Liu FedML 6 111 0 28 Nov 2019
Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator Shengwen Yang Bing Ren Xuhui Zhou Liping Liu OOD FedML 9 132 0 22 Nov 2019