Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016

Dave Bacon

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

50 / 1,850 papers shown

Title
Identifying Backdoor Attacks in Federated Learning via Anomaly Detection Yuxi Mi Yiheng Sun Jihong Guan Shuigeng Zhou AAML FedML 21 1 0 09 Feb 2022
Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data Shadi Rahimian Raouf Kerkouche I. Kurth Mario Fritz FedML 22 11 0 08 Feb 2022
Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine Learning Hao Chen Yu Ye Ming Xiao Mikael Skoglund 34 3 0 07 Feb 2022
Lossy Gradient Compression: How Much Accuracy Can One Bit Buy? Sadaf Salehkalaibar Stefano Rini FedML 37 4 0 06 Feb 2022
Optimal Algorithms for Decentralized Stochastic Variational Inequalities D. Kovalev Aleksandr Beznosikov Abdurakhmon Sadiev Michael Persiianov Peter Richtárik Alexander Gasnikov 42 35 0 06 Feb 2022
Privacy-preserving Speech Emotion Recognition through Semi-Supervised Federated Learning Vasileios Tsouvalas T. Ozcelebi N. Meratnia 36 21 0 05 Feb 2022
Distributed Learning With Sparsified Gradient Differences Yicheng Chen Rick S. Blum Martin Takáč Brian M. Sadler 42 15 0 05 Feb 2022
Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning L. P. Barnes Alex Dytso H. V. Poor FedML 41 16 0 04 Feb 2022
Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization Yifeng Zheng Shangqi Lai Yi Liu Xingliang Yuan X. Yi Cong Wang FedML 29 84 0 04 Feb 2022
DASHA: Distributed Nonconvex Optimization with Communication Compression, Optimal Oracle Complexity, and No Client Synchronization Alexander Tyurin Peter Richtárik 46 19 0 02 Feb 2022
FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations Jinhyun So Kevin Hsieh Behnaz Arzani Shadi Noghabi Salman Avestimehr Ranveer Chandra FedML 18 60 0 02 Feb 2022
3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation Peter Richtárik Igor Sokolov Ilyas Fatkhullin Elnur Gasanov Zhize Li Eduard A. Gorbunov 31 31 0 02 Feb 2022
Federated Learning Challenges and Opportunities: An Outlook Jie Ding Eric W. Tramel Anit Kumar Sahu Shuang Wu Salman Avestimehr Tao Zhang FedML 52 56 0 01 Feb 2022
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? Sheikh Shams Azam Seyyedali Hosseinalipour Qiang Qiu Christopher G. Brinton FedML 44 20 0 01 Feb 2022
Factorized-FL: Agnostic Personalized Federated Learning with Kernel Factorization & Similarity Matching Wonyong Jeong Sung Ju Hwang FedML 42 4 0 01 Feb 2022
DoCoM: Compressed Decentralized Optimization with Near-Optimal Sample Complexity Chung-Yiu Yau Hoi-To Wai 101 6 0 01 Feb 2022
Securing Federated Sensitive Topic Classification against Poisoning Attacks Tianyue Chu Álvaro García-Recuero Costas Iordanou Georgios Smaragdakis Nikolaos Laoutaris 59 9 0 31 Jan 2022
On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning Hanhan Zhou Tian-Shing Lan Guru Venkataramani Wenbo Ding FedML 32 6 0 27 Jan 2022
Achieving Personalized Federated Learning with Sparse Local Models Tiansheng Huang Shiwei Liu Li Shen Fengxiang He Weiwei Lin Dacheng Tao FedML 38 43 0 27 Jan 2022
Server-Side Stepsizes and Sampling Without Replacement Provably Help in Federated Optimization Grigory Malinovsky Konstantin Mishchenko Peter Richtárik FedML 19 24 0 26 Jan 2022
An Efficient and Robust System for Vertically Federated Random Forest Houpu Yao Jiazhou Wang Peng Dai Liefeng Bo Yanqing Chen FedML 82 12 0 26 Jan 2022
Modality Bank: Learn multi-modality images across data centers without sharing medical data Qi Chang Hui Qu Zhennan Yan Yunhe Gao L. Baskaran Dimitris N. Metaxas MedIm 22 4 0 22 Jan 2022
TOFU: Towards Obfuscated Federated Updates by Encoding Weight Updates into Gradients from Proxy Data Isha Garg M. Nagaraj Kaushik Roy FedML 36 1 0 21 Jan 2022
Federated Learning with Heterogeneous Architectures using Graph HyperNetworks Or Litany Haggai Maron David Acuna Jan Kautz Gal Chechik Sanja Fidler FedML 43 24 0 20 Jan 2022
Minimax Demographic Group Fairness in Federated Learning Afroditi Papadaki Natalia Martínez Martín Bertrán Guillermo Sapiro Miguel R. D. Rodrigues FaML FedML 16 43 0 20 Jan 2022
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges Nuria Rodríguez-Barroso Daniel Jiménez López M. V. Luzón Francisco Herrera Eugenio Martínez-Cámara FedML 37 213 0 20 Jan 2022
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization Jake B. Perazzone Shiqiang Wang Mingyue Ji Kevin S. Chan FedML 24 73 0 19 Jan 2022
AESPA: Accuracy Preserving Low-degree Polynomial Activation for Fast Private Inference J. Park M. Kim Wonkyung Jung Jung Ho Ahn LLMSV 16 27 0 18 Jan 2022
EFMVFL: An Efficient and Flexible Multi-party Vertical Federated Learning without a Third Party Yimin Huang Xinyu Feng Wanwan Wang Hao He Yukun Wang Mingxuan Yao FedML 17 7 0 17 Jan 2022
An Interpretable Federated Learning-based Network Intrusion Detection Framework Tian Dong Song Li Han Qiu Jialiang Lu FedML 19 16 0 10 Jan 2022
A Multi-agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning Shanghang Zhang Jieyu Lin Qi Zhang 40 63 0 09 Jan 2022
LoMar: A Local Defense Against Poisoning Attack on Federated Learning Xingyu Li Zhe Qu Shangqing Zhao Bo Tang Zhuo Lu Yao-Hong Liu AAML 41 92 0 08 Jan 2022
A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction Haizhou Liu Xuan Zhang Xinwei Shen Hongbin Sun FedML 24 6 0 08 Jan 2022
BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing Yoshitomo Matsubara Davide Callegaro Sameer Singh Marco Levorato Francesco Restuccia 32 41 0 07 Jan 2022
Optimizing the Communication-Accuracy Trade-off in Federated Learning with Rate-Distortion Theory Nicole Mitchell Johannes Ballé Zachary B. Charles Jakub Konecný FedML 19 21 0 07 Jan 2022
FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients Jaemin Shin Yuanchun Li Yunxin Liu Sung-Ju Lee FedML 19 74 0 05 Jan 2022
Integrating Human-in-the-loop into Swarm Learning for Decentralized Fake News Detection Xishuang Dong Lijun Qian 33 9 0 04 Jan 2022
Improving the Behaviour of Vision Transformers with Token-consistent Stochastic Layers Nikola Popovic D. Paudel Thomas Probst Luc Van Gool 36 1 0 30 Dec 2021
Challenges and Approaches for Mitigating Byzantine Attacks in Federated Learning Junyu Shi Wei Wan Shengshan Hu Jianrong Lu L. Zhang AAML 47 74 0 29 Dec 2021
Robust Convergence in Federated Learning through Label-wise Clustering Hunmin Lee Yueyang Liu Donghyun Kim Yingshu Li FedML 25 1 0 28 Dec 2021
Resource-Efficient and Delay-Aware Federated Learning Design under Edge Heterogeneity David Nickel F. Lin Seyyedali Hosseinalipour Nicolò Michelusi Christopher G. Brinton FedML 32 1 0 27 Dec 2021
FRuDA: Framework for Distributed Adversarial Domain Adaptation Shaoduo Gan Akhil Mathur Anton Isopoussu F. Kawsar N. Bianchi-Berthouze Nicholas D. Lane 19 12 0 26 Dec 2021
Faster Rates for Compressed Federated Learning with Client-Variance Reduction Haoyu Zhao Konstantin Burlachenko Zhize Li Peter Richtárik FedML 35 13 0 24 Dec 2021
EIFFeL: Ensuring Integrity for Federated Learning A. Chowdhury Chuan Guo S. Jha Laurens van der Maaten FedML 77 74 0 23 Dec 2021
FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition Chih-Ting Liu Chien-Yi Wang Shao-Yi Chien S. Lai FedML 29 36 0 23 Dec 2021
FedLGA: Towards System-Heterogeneity of Federated Learning via Local Gradient Approximation Xingyu Li Zhe Qu Bo Tang Zhuo Lu FedML 38 26 0 22 Dec 2021
Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling Bing Luo Wenli Xiao Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 45 168 0 21 Dec 2021
Distributed Machine Learning and the Semblance of Trust Dmitrii Usynin Alexander Ziller Daniel Rueckert Jonathan Passerat-Palmbach Georgios Kaissis 24 1 0 21 Dec 2021
Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better Sameer Bibikar H. Vikalo Zhangyang Wang Xiaohan Chen FedML 35 96 0 18 Dec 2021
A Review on Visual Privacy Preservation Techniques for Active and Assisted Living Siddharth Ravi Pau Climent-Pérez Francisco Flórez-Revuelta 42 33 0 17 Dec 2021