Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016

Dave Bacon

Papers citing "Federated Learning: Strategies for Improving Communication Efficiency"

50 / 1,849 papers shown

Title
Federated Multi-Mini-Batch: An Efficient Training Approach to Federated Learning in Non-IID Environments Reza Nasirigerdeh Mohammad Bakhtiari Reihaneh Torkzadehmahani Amirhossein Bayat M. List David B. Blumenthal Jan Baumbach FedML 24 8 0 13 Nov 2020
Heterogeneous Data-Aware Federated Learning Lixuan Yang Cedric Beliard Dario Rossi FedML 31 17 0 12 Nov 2020
Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks Saurav Prakash S. Dhakal M. Akdeniz Yair Yona S. Talwar Salman Avestimehr N. Himayat FedML 35 92 0 12 Nov 2020
Real-Time Decentralized knowledge Transfer at the Edge Orpaz Goldstein Mohammad Kachuee Dereck Shiell Majid Sarrafzadeh 22 1 0 11 Nov 2020
Privacy Preservation in Federated Learning: An insightful survey from the GDPR Perspective N. Truong Kai Sun Siyao Wang Florian Guitton Yike Guo FedML 12 9 0 10 Nov 2020
Compression Boosts Differentially Private Federated Learning Raouf Kerkouche G. Ács C. Castelluccia P. Genevès FedML 30 29 0 10 Nov 2020
Interpretable collaborative data analysis on distributed data A. Imakura Hiroaki Inaba Yukihiko Okada Tetsuya Sakurai FedML 19 26 0 09 Nov 2020
BayGo: Joint Bayesian Learning and Information-Aware Graph Optimization Tamara Alshammari S. Samarakoon Anis Elgabli M. Bennis 30 5 0 09 Nov 2020
SplitEasy: A Practical Approach for Training ML models on Mobile Devices Kamalesh Palanisamy Vivek Khimani Moin Hussain Moti Dimitris Chatzopoulos 22 20 0 09 Nov 2020
Adaptive Federated Dropout: Improving Communication Efficiency and Generalization for Federated Learning Nader Bouacida Jiahui Hou H. Zang Xin Liu FedML 25 75 0 08 Nov 2020
FDNAS: Improving Data Privacy and Model Diversity in AutoML Chunhui Zhang Yongyuan Liang Xiaoming Yuan Lei Cheng FedML 16 1 0 06 Nov 2020
Federated Crowdsensing: Framework and Challenges Leye Wang Han Yu Xiao Han FedML 25 6 0 06 Nov 2020
Resource-Constrained Federated Learning with Heterogeneous Labels and Models Gautham Krishna Gudur B. Balaji S. K. Perepu FedML 8 19 0 06 Nov 2020
FederBoost: Private Federated Learning for GBDT Zhihua Tian Rui Zhang Xiaoyang Hou Jian-wei Liu K. Ren Jian Liu Kui Ren FedML AI4CE 47 66 0 05 Nov 2020
LQR with Tracking: A Zeroth-order Approach and Its Global Convergence Zhaolin Ren Aoxiao Zhong Na Li 17 3 0 03 Nov 2020
Local SGD: Unified Theory and New Efficient Methods Eduard A. Gorbunov Filip Hanzely Peter Richtárik FedML 37 109 0 03 Nov 2020
Surgical Data Science -- from Concepts toward Clinical Translation Lena Maier-Hein Matthias Eisenmann Duygu Sarikaya Keno Marz Toby Collins ... D. Teber F. Uckert Beat P. Müller-Stich Pierre Jannin Stefanie Speidel AI4CE 25 223 0 30 Oct 2020
Minimal Model Structure Analysis for Input Reconstruction in Federated Learning Jia Qian Hiba Nassar Lars Kai Hansen FedML 10 9 0 29 Oct 2020
Exploring the Security Boundary of Data Reconstruction via Neuron Exclusivity Analysis Xudong Pan Mi Zhang Yifan Yan Jiaming Zhu Zhemin Yang AAML 10 21 0 26 Oct 2020
Byzantine Resilient Distributed Multi-Task Learning Jiani Li W. Abbas X. Koutsoukos 19 8 0 25 Oct 2020
Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD Jiayi Wang Shiqiang Wang Rong-Rong Chen Mingyue Ji FedML 36 51 0 24 Oct 2020
FedE: Embedding Knowledge Graphs in Federated Setting Mingyang Chen Wen Zhang Zonggang Yuan Yantao Jia Huajun Chen FedML 16 76 0 24 Oct 2020
Federated Bandit: A Gossiping Approach Zhaowei Zhu Jingxuan Zhu Ji Liu Yang Liu FedML 152 83 0 24 Oct 2020
Linearly Converging Error Compensated SGD Eduard A. Gorbunov D. Kovalev Dmitry Makarenko Peter Richtárik 163 78 0 23 Oct 2020
Hierarchical Federated Learning through LAN-WAN Orchestration Jinliang Yuan Mengwei Xu Xiao Ma Ao Zhou Xuanzhe Liu Shangguang Wang FedML 22 38 0 22 Oct 2020
Differentially-Private Federated Linear Bandits Abhimanyu Dubey Alex Pentland FedML 29 115 0 22 Oct 2020
DPD-InfoGAN: Differentially Private Distributed InfoGAN Vaikkunth Mugunthan V. Gokul Lalana Kagal Shlomo Dubnov 8 10 0 22 Oct 2020
Decentralized Deep Learning using Momentum-Accelerated Consensus Aditya Balu Zhanhong Jiang Sin Yong Tan Chinmay Hedge Young M. Lee S. Sarkar FedML 32 22 0 21 Oct 2020
GFL: A Decentralized Federated Learning Framework Based On Blockchain Yifan Hu Yuhang Zhou Jun Xiao Chao-Xiang Wu FedML 30 31 0 21 Oct 2020
ASCII: ASsisted Classification with Ignorance Interchange Jiaying Zhou Xun Xian Na Li Jie Ding 4 0 0 21 Oct 2020
A Federated Learning Approach to Anomaly Detection in Smart Buildings Raed Abdel Sater A. Ben Hamza 17 121 0 20 Oct 2020
A Demonstration of Smart Doorbell Design Using Federated Deep Learning Vatsal Patel Sarth Kanani Tapan Pathak Pankesh Patel M. Ali J. Breslin FedML 17 3 0 19 Oct 2020
Blind Federated Edge Learning M. Amiri T. Duman Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor 85 92 0 19 Oct 2020
A Comprehensive Overview on 5G-and-Beyond Networks with UAVs: From Communications to Sensing and Intelligence Qingqing Wu Jie Xu Yong Zeng Derrick Wing Kwan Ng N. Al-Dhahir R. Schober A. L. Swindlehurst 40 352 0 19 Oct 2020
From Distributed Machine Learning To Federated Learning: In The View Of Data Privacy And Security Sheng Shen Tianqing Zhu Di Wu Wei Wang Wanlei Zhou FedML OOD 23 77 0 19 Oct 2020
Federated Unsupervised Representation Learning Fengda Zhang Kun Kuang Zhaoyang You T. Shen Jun Xiao Yin Zhang Chao-Xiang Wu Yueting Zhuang Xiaolin Li FedML 28 134 0 18 Oct 2020
Towards Tight Communication Lower Bounds for Distributed Optimisation Dan Alistarh Janne H. Korhonen FedML 22 7 0 16 Oct 2020
Federated Learning in Adversarial Settings Raouf Kerkouche G. Ács C. Castelluccia FedML 8 15 0 15 Oct 2020
R-GAP: Recursive Gradient Attack on Privacy Junyi Zhu Matthew Blaschko FedML 14 132 0 15 Oct 2020
Secure and Fault Tolerant Decentralized Learning Saurav Prakash H. Hashemi Yongqin Wang M. Annavaram Salman Avestimehr FedML 51 10 0 15 Oct 2020
BlockFLA: Accountable Federated Learning via Hybrid Blockchain Architecture H. Desai Mustafa Safa Ozdayi Murat Kantarcioglu FedML 6 60 0 14 Oct 2020
FedGroup: Efficient Clustered Federated Learning via Decomposed Data-Driven Measure Moming Duan Duo Liu Xinyuan Ji Renping Liu Liang Liang Xianzhang Chen Yujuan Tan FedML 19 61 0 14 Oct 2020
FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers Zheng Chai Yujing Chen Ali Anwar Liang Zhao Yue Cheng Huzefa Rangwala FedML 26 122 0 12 Oct 2020
Voting-based Approaches For Differentially Private Federated Learning Yuqing Zhu Xiang Yu Yi-Hsuan Tsai Francesco Pittaluga M. Faraki Manmohan Chandraker Yu-Xiang Wang FedML 29 21 0 09 Oct 2020
Adaptive Subcarrier, Parameter, and Power Allocation for Partitioned Edge Learning Over Broadband Channels Dingzhu Wen Ki-Jun Jeon M. Bennis Kaibin Huang 33 10 0 08 Oct 2020
Optimal Gradient Compression for Distributed and Federated Learning Alyazeed Albasyoni M. Safaryan Laurent Condat Peter Richtárik FedML 16 61 0 07 Oct 2020
InstaHide: Instance-hiding Schemes for Private Distributed Learning Yangsibo Huang Zhao Song Keqin Li Sanjeev Arora FedML PICV 25 150 0 06 Oct 2020
Specialized federated learning using a mixture of experts Edvin Listo Zec Olof Mogren John Martinsson L. R. Sütfeld D. Gillblad FedML 28 29 0 05 Oct 2020
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients Enmao Diao Jie Ding Vahid Tarokh FedML 46 544 0 03 Oct 2020
Distributed Proximal Splitting Algorithms with Rates and Acceleration Laurent Condat Grigory Malinovsky Peter Richtárik 6 21 0 02 Oct 2020