v1v2v3v4 (latest)

Communication-Efficient Learning of Deep Networks from Decentralized Data

17 February 2016

Blaise Agüera y Arcas

FedML

ArXiv (abs)PDF HTML

Papers citing "Communication-Efficient Learning of Deep Networks from Decentralized Data"

50 / 5,678 papers shown

Title
SplitNN-driven Vertical Partitioning Iker Ceballos Vivek Sharma Eduardo Mugica Abhishek Singh Alberto Roman Praneeth Vepakomma Ramesh Raskar 73 73 0 07 Aug 2020
Improving on-device speaker verification using federated learning with privacy Filip Granqvist M. Seigel Rogier van Dalen Áine Cahill Stephen Shum Matthias Paulik FedML 77 56 0 06 Aug 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications Jihong Park S. Samarakoon Anis Elgabli Joongheon Kim M. Bennis Seong-Lyun Kim Mérouane Debbah 114 165 0 06 Aug 2020
Federated Transfer Learning with Dynamic Gradient Aggregation Dimitrios Dimitriadis K. Kumatani R. Gmyr Yashesh Gaur Sefik Emre Eskimez FedML 96 15 0 06 Aug 2020
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence Tianqing Zhu Dayong Ye Wei Wang Wanlei Zhou Philip S. Yu SyDa 85 130 0 05 Aug 2020
E-Tree Learning: A Novel Decentralized Model Learning Framework for Edge AI Lei Yang Yanyan Lu Jiannong Cao Jiaming Huang Mingjin Zhang 90 20 0 04 Aug 2020
State-of-the-art Techniques in Deep Edge Intelligence Ahnaf Hannan Lodhi Barış Akgün Öznur Özkasap 58 5 0 03 Aug 2020
Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization Rui Hu Yanmin Gong Yuanxiong Guo FedML 92 55 0 01 Aug 2020
LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy Lichao Sun Jianwei Qian Xun Chen FedML 84 214 0 31 Jul 2020
Learner's Dilemma: IoT Devices Training Strategies in Collaborative Deep Learning Deepti Gupta O. Kayode Smriti Bhatt Maanak Gupta A. Tosun 43 24 0 30 Jul 2020
Dynamic Defense Against Byzantine Poisoning Attacks in Federated Learning Nuria Rodríguez-Barroso Eugenio Martínez-Cámara M. V. Luzón Francisco Herrera FedML AAML 97 36 0 29 Jul 2020
Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge Chaoyang He M. Annavaram A. Avestimehr FedML 111 23 0 28 Jul 2020
Flower: A Friendly Federated Learning Research Framework Daniel J. Beutel Taner Topal Akhil Mathur Xinchi Qiu Javier Fernandez-Marques ... Lorenzo Sani Kwing Hei Li Titouan Parcollet Pedro Porto Buarque de Gusmão Nicholas D. Lane FedML 188 827 0 28 Jul 2020
Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems Wentai Wu Ligang He Weiwei Lin Rui Mao 73 81 0 28 Jul 2020
Multi-Level Local SGD for Heterogeneous Hierarchical Networks Timothy Castiglia Anirban Das S. Patterson 78 13 0 27 Jul 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 287 579 0 27 Jul 2020
Evaluation of Federated Learning in Phishing Email Detection Chandra Thapa Jun Tang A. Abuadbba Yansong Gao S. Çamtepe Surya Nepal Mahathir Almashor Yifeng Zheng FedML 80 16 0 27 Jul 2020
Fast-Convergent Federated Learning Hung T. Nguyen Vikash Sehwag Seyyedali Hosseinalipour Christopher G. Brinton M. Chiang H. Vincent Poor FedML 103 196 0 26 Jul 2020
Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence Aaqib Saeed Flora D. Salim T. Ozcelebi J. Lukkien FedML SSL 196 100 0 25 Jul 2020
Privacy-preserving Artificial Intelligence Techniques in Biomedicine Reihaneh Torkzadehmahani Reza Nasirigerdeh David B. Blumenthal T. Kacprowski M. List ... Harald H. H. W. Schmidt A. Schwalber Christof Tschohl Andrea Wohner Jan Baumbach 88 60 0 22 Jul 2020
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective Sin Kit Lo Qinghua Lu Chen Wang Hye-Young Paik Liming Zhu FedML 164 85 0 22 Jul 2020
Memory-Latency-Accuracy Trade-offs for Continual Learning on a RISC-V Extreme-Edge Node Leonardo Ravaglia Manuele Rusci Alessandro Capotondi Francesco Conti Lorenzo Pellegrini Vincenzo Lomonaco Davide Maltoni Luca Benini 42 11 0 22 Jul 2020
IBM Federated Learning: an Enterprise Framework White Paper V0.1 Heiko Ludwig Nathalie Baracaldo Gegi Thomas Yi Zhou Ali Anwar ... Sean Laguna Mikhail Yurochkin Mayank Agarwal Ebube Chuba Annie Abay FedML 237 164 0 22 Jul 2020
Byzantine-Resilient Secure Federated Learning Jinhyun So Başak Güler A. Avestimehr FedML 106 250 0 21 Jul 2020
Incentives for Federated Learning: a Hypothesis Elicitation Approach Yang Liu Jiaheng Wei FedML 88 23 0 21 Jul 2020
Multi-Stage Hybrid Federated Learning over Large-Scale D2D-Enabled Fog Networks Seyyedali Hosseinalipour Sheikh Shams Azam Christopher G. Brinton Nicolò Michelusi Vaneet Aggarwal David J. Love H. Dai 107 93 0 18 Jul 2020
Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms Fengxiang He Bohan Wang Dacheng Tao FedML 55 18 0 18 Jul 2020
How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning Lingjuan Lyu Yitong Li Karthik Nandakumar Jiangshan Yu Xingjun Ma FedML 55 52 0 18 Jul 2020
ML Privacy Meter: Aiding Regulatory Compliance by Quantifying the Privacy Risks of Machine Learning S. K. Murakonda Reza Shokri 53 78 0 18 Jul 2020
Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing Jed Mills Jia Hu Geyong Min FedML 75 212 0 17 Jul 2020
Prioritized Multi-Criteria Federated Learning Vito Walter Anelli Yashar Deldjoo Tommaso Di Noia Antonio Ferrara FedML 32 9 0 17 Jul 2020
Less is More: A privacy-respecting Android malware classifier using Federated Learning Rafa Gálvez Veelasha Moonsamy Claudia Díaz FedML 46 30 0 16 Jul 2020
Federated Learning in Mobile Edge Computing: An Edge-Learning Perspective for Beyond 5G Shashank Jere Nan Cheng Bodong Shang Lianjun Li Lingjia Liu 129 10 0 15 Jul 2020
FetchSGD: Communication-Efficient Federated Learning with Sketching D. Rothchild Ashwinee Panda Enayat Ullah Nikita Ivkin Ion Stoica Vladimir Braverman Joseph E. Gonzalez Raman Arora FedML 100 373 0 15 Jul 2020
A Survey of Privacy Attacks in Machine Learning M. Rigaki Sebastian Garcia PILM AAML 140 226 0 15 Jul 2020
Incremental Without Replacement Sampling in Nonconvex Optimization Edouard Pauwels 74 5 0 15 Jul 2020
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization Jianyu Wang Qinghua Liu Hao Liang Gauri Joshi H. Vincent Poor MoMe FedML 127 1,366 0 15 Jul 2020
Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning Wenqi Shi Sheng Zhou Z. Niu Miao Jiang Lu Geng 77 297 0 14 Jul 2020
Additively Homomorphical Encryption based Deep Neural Network for Asymmetrically Collaborative Machine Learning Yifei Zhang Hao Zhu FedML 63 42 0 14 Jul 2020
$WOR and $p$'s: Sketches for $\ell_p$-Sampling Without Replacement$ WOR and $p$ 's: Sketches for $\ell_p$ -Sampling Without Replacement E. Cohen Rasmus Pagh David P. Woodruff 50 11 0 14 Jul 2020
Quality Inference in Federated Learning with Secure Aggregation Balázs Pejó G. Biczók FedML 86 22 0 13 Jul 2020
VAFL: a Method of Vertical Asynchronous Federated Learning Tianyi Chen Xiao Jin Yuejiao Sun W. Yin FedML 123 163 0 12 Jul 2020
MeDaS: An open-source platform as service to help break the walls between medicine and informatics Liang Zhang Johann Li Ping Li Xiaoyuan Lu Peiyi Shen Guangming Zhu Syed Afaq Ali Shah Bennamoun Kun Qian Björn W. Schuller MedIm 73 6 0 12 Jul 2020
Differentially private cross-silo federated learning Mikko A. Heikkilä A. Koskela Kana Shimizu Samuel Kaski Antti Honkela FedML 68 24 0 10 Jul 2020
Blockchain-Federated-Learning and Deep Learning Models for COVID-19 detection using CT Imaging R. Kumar A. Khan Sinmin Zhang Jay Kumar Wenyong Wang Yousif Abuidris Zakria Waqas Amin Sidra Shafiq WenYong Wang OOD FedML 95 332 0 10 Jul 2020
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning Hongyi Wang Kartik K. Sreenivasan Shashank Rajput Harit Vishwakarma Saurabh Agarwal Jy-yong Sohn Kangwook Lee Dimitris Papailiopoulos FedML 129 617 0 09 Jul 2020
Client Adaptation improves Federated Learning with Simulated Non-IID Clients Laura Rieger Rasmus M. Th. Høegh Lars Kai Hansen FedML 70 6 0 09 Jul 2020
Federated Learning of User Authentication Models H. Hosseini Sungrack Yun Hyunsin Park Christos Louizos Joseph B. Soriaga Max Welling FedML 56 13 0 09 Jul 2020
Personalized Cross-Silo Federated Learning on Non-IID Data Yutao Huang Lingyang Chu Zirui Zhou Lanjun Wang Jiangchuan Liu J. Pei Yong Zhang FedML 120 619 0 07 Jul 2020
Learning while Respecting Privacy and Robustness to Distributional Uncertainties and Adversarial Data A. Sadeghi Gang Wang Meng Ma G. Giannakis OOD FedML 39 4 0 07 Jul 2020