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Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016

Dave Bacon

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

50 / 1,868 papers shown

Title
Communication-Efficient Federated Distillation Felix Sattler Arturo Marbán R. Rischke Wojciech Samek FedML DD 82 35 0 01 Dec 2020
Edge-assisted Democratized Learning Towards Federated Analytics Shashi Raj Pandey Minh N. H. Nguyen Tri Nguyen Dang N. H. Tran K. Thar Zhu Han Choong Seon Hong FedML 44 22 0 01 Dec 2020
Gradient Sparsification Can Improve Performance of Differentially-Private Convex Machine Learning F. Farokhi 77 5 0 30 Nov 2020
Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management Helin Yang Jun Zhao Zehui Xiong Kwok-Yan Lam Sumei Sun Liang Xiao 78 188 0 28 Nov 2020
Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks Minh N. H. Nguyen N. H. Tran Y. Tun Zhu Han Choong Seon Hong FedML 90 50 0 25 Nov 2020
Wyner-Ziv Estimators for Distributed Mean Estimation with Side Information and Optimization Prathamesh Mayekar Shubham K. Jha A. Suresh Himanshu Tyagi FedML 82 2 0 24 Nov 2020
InstaHide's Sample Complexity When Mixing Two Private Images Baihe Huang Zhao Song Runzhou Tao Junze Yin Ruizhe Zhang Danyang Zhuo MIACV 64 9 0 24 Nov 2020
When Machine Learning Meets Privacy: A Survey and Outlook B. Liu Ming Ding Sina shaham W. Rahayu F. Farokhi Zihuai Lin 99 293 0 24 Nov 2020
Federated learning with class imbalance reduction Miao Yang Akitanoshou Wong Hongbin Zhu Haifeng Wang H. Qian FedML 69 126 0 23 Nov 2020
A decentralized aggregation mechanism for training deep learning models using smart contract system for bank loan prediction Pratik Ratadiya Khushi Asawa O. Nikhal FedML 48 7 0 22 Nov 2020
Wireless Distributed Edge Learning: How Many Edge Devices Do We Need? Jaeyoung Song Marios Kountouris 33 17 0 22 Nov 2020
Sparse sketches with small inversion bias Michal Derezinski Zhenyu Liao Yan Sun Michael W. Mahoney 126 22 0 21 Nov 2020
On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Optimization Abolfazl Hashemi Anish Acharya Rudrajit Das H. Vikalo Sujay Sanghavi Inderjit Dhillon 77 9 0 20 Nov 2020
FLaaS: Federated Learning as a Service N. Kourtellis Kleomenis Katevas Diego Perino FedML 82 60 0 18 Nov 2020
Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning Nick Angelou Ayoub Benaissa Bogdan Cebere William Clark A. Hall ... Pavlos Papadopoulos Robin Roehm R. Sandmann Phillipp Schoppmann Tom Titcombe 63 29 0 18 Nov 2020
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things Jing Zhang Dacheng Tao 105 477 0 17 Nov 2020
Anonymizing Sensor Data on the Edge: A Representation Learning and Transformation Approach Omid Hajihassani Omid Ardakanian Hamzeh Khazaei 39 9 0 16 Nov 2020
Budgeted Online Selection of Candidate IoT Clients to Participate in Federated Learning Ihab Mohammed Shadha Tabatabai Ala I. Al-Fuqaha Faissal El Bouanani Junaid Qadir Basheer Qolomany Mohsen Guizani 67 63 0 16 Nov 2020
CatFedAvg: Optimising Communication-efficiency and Classification Accuracy in Federated Learning D. Sarkar Sumit Rai Ankur Narang FedML 38 2 0 14 Nov 2020
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 48 8 0 13 Nov 2020
Heterogeneous Data-Aware Federated Learning Lixuan Yang Cedric Beliard Dario Rossi FedML 70 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 134 93 0 12 Nov 2020
Real-Time Decentralized knowledge Transfer at the Edge Orpaz Goldstein Mohammad Kachuee Dereck Shiell Majid Sarrafzadeh 57 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 67 9 0 10 Nov 2020
Compression Boosts Differentially Private Federated Learning Raouf Kerkouche G. Ács C. Castelluccia P. Genevès FedML 75 30 0 10 Nov 2020
Interpretable collaborative data analysis on distributed data A. Imakura Hiroaki Inaba Yukihiko Okada Tetsuya Sakurai FedML 38 26 0 09 Nov 2020
BayGo: Joint Bayesian Learning and Information-Aware Graph Optimization Tamara Alshammari S. Samarakoon Anis Elgabli M. Bennis 79 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 77 21 0 09 Nov 2020
Adaptive Federated Dropout: Improving Communication Efficiency and Generalization for Federated Learning Nader Bouacida Jiahui Hou H. Zang Xin Liu FedML 100 78 0 08 Nov 2020
FDNAS: Improving Data Privacy and Model Diversity in AutoML Chunhui Zhang Yongyuan Liang Xiaoming Yuan Lei Cheng FedML 24 1 0 06 Nov 2020
Federated Crowdsensing: Framework and Challenges Leye Wang Han Yu Xiao Han FedML 58 7 0 06 Nov 2020
Resource-Constrained Federated Learning with Heterogeneous Labels and Models Gautham Krishna Gudur B. Balaji S. K. Perepu FedML 47 21 0 06 Nov 2020
FederBoost: Private Federated Learning for GBDT Zhihua Tian Rui Zhang Xiaoyang Hou Jian Liu K. Ren Jian Liu Kui Ren FedML AI4CE 123 70 0 05 Nov 2020
LQR with Tracking: A Zeroth-order Approach and Its Global Convergence Tongzheng Ren Aoxiao Zhong Na Li 56 3 0 03 Nov 2020
Local SGD: Unified Theory and New Efficient Methods Eduard A. Gorbunov Filip Hanzely Peter Richtárik FedML 102 111 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 92 234 0 30 Oct 2020
Minimal Model Structure Analysis for Input Reconstruction in Federated Learning Jia Qian Hiba Nassar Lars Kai Hansen FedML 90 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 67 22 0 26 Oct 2020
Byzantine Resilient Distributed Multi-Task Learning Jiani Li W. Abbas X. Koutsoukos 58 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 108 55 0 24 Oct 2020
FedE: Embedding Knowledge Graphs in Federated Setting Yin Hua Wen Zhang Zonggang Yuan Yantao Jia Huajun Chen FedML 80 82 0 24 Oct 2020
Federated Bandit: A Gossiping Approach Zhaowei Zhu Jingxuan Zhu Ji Liu Yang Liu FedML 251 85 0 24 Oct 2020
Linearly Converging Error Compensated SGD Eduard A. Gorbunov D. Kovalev Dmitry Makarenko Peter Richtárik 225 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 60 38 0 22 Oct 2020
Differentially-Private Federated Linear Bandits Abhimanyu Dubey Alex Pentland FedML 105 119 0 22 Oct 2020
DPD-InfoGAN: Differentially Private Distributed InfoGAN Vaikkunth Mugunthan V. Gokul Lalana Kagal Shlomo Dubnov 57 10 0 22 Oct 2020
Decentralized Deep Learning using Momentum-Accelerated Consensus Aditya Balu Zhanhong Jiang Sin Yong Tan Chinmay Hedge Young M. Lee Soumik Sarkar FedML 100 22 0 21 Oct 2020
GFL: A Decentralized Federated Learning Framework Based On Blockchain Yifan Hu Yuhang Zhou Jun Xiao Chao-Xiang Wu FedML 83 32 0 21 Oct 2020
ASCII: ASsisted Classification with Ignorance Interchange Jiaying Zhou Xun Xian Na Li Jie Ding 44 0 0 21 Oct 2020
A Federated Learning Approach to Anomaly Detection in Smart Buildings Raed Abdel Sater A. Ben Hamza 70 127 0 20 Oct 2020