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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
On the Convergence of Decentralized Federated Learning Under Imperfect Information Sharing Vishnu Pandi Chellapandi Antesh Upadhyay Abolfazl Hashemi Stanislaw H. .Zak FedML 73 34 0 19 Mar 2023
Client Selection for Generalization in Accelerated Federated Learning: A Multi-Armed Bandit Approach Dan Ben Ami Kobi Cohen Qing Zhao FedML 62 12 0 18 Mar 2023
MODIFY: Model-driven Face Stylization without Style Images Yuhe Ding Jian Liang Jie Cao A. Zheng Ran He CVBM 93 2 0 17 Mar 2023
Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks Rohit Parasnis Seyyedali Hosseinalipour Yun-Wei Chu M. Chiang Christopher G. Brinton FedML 65 17 0 15 Mar 2023
Comparative Evaluation of Data Decoupling Techniques for Federated Machine Learning with Database as a Service Muhammad Jahanzeb Khan Rui Hu Mohammad Sadoghi Dongfang Zhao FedML 32 0 0 15 Mar 2023
Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues Mohamed Akrout Amal Feriani F. Bellili A. Mezghani Ekram Hossain OOD AI4CE 101 28 0 13 Mar 2023
Multi-metrics adaptively identifies backdoors in Federated learning Siquan Huang Yijiang Li Chong Chen Leyu Shi Ying Gao AAML 87 23 0 12 Mar 2023
Papaya: Federated Learning, but Fully Decentralized Ram M. Kripa Andy Zou Ryan Jia Kenny Huang FedML 24 0 0 10 Mar 2023
FedREP: A Byzantine-Robust, Communication-Efficient and Privacy-Preserving Framework for Federated Learning Yi-Rui Yang Kun Wang Wulu Li FedML 85 3 0 09 Mar 2023
Generative Model-Based Attack on Learnable Image Encryption for Privacy-Preserving Deep Learning AprilPyone Maungmaung Hitoshi Kiya FedML DiffM 80 3 0 09 Mar 2023
Memory-adaptive Depth-wise Heterogenous Federated Learning Kai Zhang Yutong Dai Hongyi Wang Eric P. Xing Xun Chen Lichao Sun FedML 80 8 0 08 Mar 2023
ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional Compression Avetik G. Karagulyan Peter Richtárik FedML 78 6 0 08 Mar 2023
A Privacy Preserving System for Movie Recommendations Using Federated Learning David Neumann Andreas Lutz Karsten Müller Wojciech Samek 68 12 0 07 Mar 2023
Data Games: A Game-Theoretic Approach to Swarm Robotic Data Collection Oguzhan Akcin Po-han Li Shubhankar Agarwal Sandeep Chinchali 59 3 0 07 Mar 2023
Communication Trade-offs in Federated Learning of Spiking Neural Networks Soumi Chaki David Weinberg Ayça Özçelikkale FedML 104 1 0 27 Feb 2023
Optimizing Quantum Federated Learning Based on Federated Quantum Natural Gradient Descent Jun Qi Xiaolin Zhang Javier Tejedor FedML 58 9 0 27 Feb 2023
FLAG: Fast Label-Adaptive Aggregation for Multi-label Classification in Federated Learning Shih-Fang Chang Benny Wei-Yun Hsu Tien-Yu Chang Vincent S. Tseng 66 2 0 27 Feb 2023
P4L: Privacy Preserving Peer-to-Peer Learning for Infrastructureless Setups Ioannis Arapakis P. Papadopoulos Kleomenis Katevas Diego Perino 70 8 0 26 Feb 2023
GNNDelete: A General Strategy for Unlearning in Graph Neural Networks Jiali Cheng George Dasoulas Huan He Chirag Agarwal Marinka Zitnik MU 120 38 0 26 Feb 2023
Personalized Decentralized Federated Learning with Knowledge Distillation Eunjeong Jeong Marios Kountouris FedML 81 18 0 23 Feb 2023
Advancements in Federated Learning: Models, Methods, and Privacy Hui Chen Huandong Wang Qingyue Long Depeng Jin Yong Li FedML 128 16 0 22 Feb 2023
Quantized Low-Rank Multivariate Regression with Random Dithering Junren Chen Yueqi Wang Michael Kwok-Po Ng 100 6 0 22 Feb 2023
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy Yan Sun Li Shen Tiansheng Huang Liang Ding Dacheng Tao FedML 93 51 0 21 Feb 2023
Federated Learning for ASR based on Wav2vec 2.0 Tuan Nguyen Salima Mdhaffar N. Tomashenko J. Bonastre Yannick Esteve FedML 97 10 0 20 Feb 2023
WW-FL: Secure and Private Large-Scale Federated Learning F. Marx T. Schneider Ajith Suresh Tobias Wehrle Christian Weinert Hossein Yalame FedML 80 2 0 20 Feb 2023
TAMUNA: Doubly Accelerated Distributed Optimization with Local Training, Compression, and Partial Participation Laurent Condat Ivan Agarský Grigory Malinovsky Peter Richtárik FedML 116 4 0 20 Feb 2023
Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI Juexiao Zhou Longxi Zhou Di Wang Xiaopeng Xu Haoyang Li Yuetan Chu Wenkai Han Xin Gao 85 21 0 20 Feb 2023
On Feasibility of Server-side Backdoor Attacks on Split Learning Behrad Tajalli Oguzhan Ersoy S. Picek FedML SILM 112 8 0 19 Feb 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective Baoyuan Wu Zihao Zhu Li Liu Qingshan Liu Zhaofeng He Siwei Lyu AAML 115 23 0 19 Feb 2023
Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective Yash Travadi Le Peng Xuan Bi Ju Sun Mochen Yang FedML 66 3 0 17 Feb 2023
AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving Tianyue Zheng Ang Li Zhe Chen Hao Wang Jun Luo 84 54 0 17 Feb 2023
Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities Aleksandr Beznosikov Martin Takáč Alexander Gasnikov 88 11 0 15 Feb 2023
An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning Shenghui Li Edith C.H. Ngai Thiemo Voigt FedML AAML 65 61 0 14 Feb 2023
FilFL: Client Filtering for Optimized Client Participation in Federated Learning Fares Fourati Salma Kharrat Vaneet Aggarwal Mohamed-Slim Alouini Marco Canini FedML 90 4 0 13 Feb 2023
Pruning Deep Neural Networks from a Sparsity Perspective Enmao Diao G. Wang Jiawei Zhan Yuhong Yang Jie Ding Vahid Tarokh 87 32 0 11 Feb 2023
Knowledge Distillation-based Information Sharing for Online Process Monitoring in Decentralized Manufacturing System Zhangyue Shi Yuxuan Li Chenang Liu 83 8 0 08 Feb 2023
DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning Tomoya Murata Taiji Suzuki 102 9 0 08 Feb 2023
Unsupervised Deep Learning for IoT Time Series Ya Liu Ying Zhou Kai Yang Xiao Wang AI4TS 118 37 0 07 Feb 2023
$z$ -SignFedAvg: A Unified Stochastic Sign-based Compression for Federated Learning Zhiwei Tang Yanmeng Wang Tsung-Hui Chang FedML 80 14 0 06 Feb 2023
Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey Jiajun Wu Steve Drew Fan Dong Zhuangdi Zhu Jiayu Zhou FedML 132 53 0 06 Feb 2023
Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity Youssef Allouah Sadegh Farhadkhani R. Guerraoui Nirupam Gupta Rafael Pinot John Stephan FedML 122 54 0 03 Feb 2023
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging Soroosh Tayebi Arasteh Alexander Ziller Christiane Kuhl Marcus R. Makowski S. Nebelung R. Braren Daniel Rueckert Daniel Truhn Georgios Kaissis MedIm 142 25 0 03 Feb 2023
Vertical Federated Learning: Taxonomies, Threats, and Prospects Qun Li Chandra Thapa Lawrence Ong Yifeng Zheng Hua Ma S. Çamtepe Anmin Fu Yan Gao FedML 120 11 0 03 Feb 2023
DoCoFL: Downlink Compression for Cross-Device Federated Learning Ron Dorfman S. Vargaftik Y. Ben-Itzhak Kfir Y. Levy FedML 108 22 0 01 Feb 2023
Scheduling Inference Workloads on Distributed Edge Clusters with Reinforcement Learning Gabriele Castellano J. Nieto Jordi Luque Ferran Diego Carlos Segura Diego Perino Flavio Esposito Fulvio Risso Aravindh Raman 39 0 0 31 Jan 2023
FedFA: Federated Feature Augmentation Tianfei Zhou E. Konukoglu OOD FedML 77 30 0 30 Jan 2023
Does Federated Learning Really Need Backpropagation? Hao Feng Tianyu Pang Chao Du Wei Chen Shuicheng Yan Min Lin FedML 99 11 0 28 Jan 2023
SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference Alind Khare A. Agrawal Aditya Annavajjala Payman Behnam Myungjin Lee Hugo Latapie Alexey Tumanov FedML 59 2 0 26 Jan 2023
When does the student surpass the teacher? Federated Semi-supervised Learning with Teacher-Student EMA Jessica Zhao Sayan Ghosh Akash Bharadwaj Chih-Yao Ma FedML 47 7 0 24 Jan 2023
PolarAir: A Compressed Sensing Scheme for Over-the-Air Federated Learning Michail Gkagkos Krishna R. Narayanan J. Chamberland C. Georghiades 97 0 0 24 Jan 2023