Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016

Dave Bacon

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

50 / 1,855 papers shown

Title
A Privacy Preserving System for Movie Recommendations Using Federated Learning David Neumann Andreas Lutz Karsten Müller Wojciech Samek 31 11 0 07 Mar 2023
Data Games: A Game-Theoretic Approach to Swarm Robotic Data Collection Oguzhan Akcin Po-han Li Shubhankar Agarwal Sandeep Chinchali 33 3 0 07 Mar 2023
Communication Trade-offs in Federated Learning of Spiking Neural Networks Soumi Chaki David Weinberg Ayça Özçelikkale FedML 67 1 0 27 Feb 2023
Optimizing Quantum Federated Learning Based on Federated Quantum Natural Gradient Descent Jun Qi Xiaolin Zhang Javier Tejedor FedML 28 8 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 24 2 0 27 Feb 2023
P4L: Privacy Preserving Peer-to-Peer Learning for Infrastructureless Setups Ioannis Arapakis P. Papadopoulos Kleomenis Katevas Diego Perino 38 7 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 60 37 0 26 Feb 2023
Personalized Decentralized Federated Learning with Knowledge Distillation Eunjeong Jeong Marios Kountouris FedML 52 16 0 23 Feb 2023
Advancements in Federated Learning: Models, Methods, and Privacy Hui Chen Huandong Wang Qingyue Long Depeng Jin Yong Li FedML 69 14 0 22 Feb 2023
Quantized Low-Rank Multivariate Regression with Random Dithering Junren Chen Yueqi Wang Michael Kwok-Po Ng 44 5 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 41 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 55 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 37 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 66 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 47 20 0 20 Feb 2023
On Feasibility of Server-side Backdoor Attacks on Split Learning Behrad Tajalli Oguzhan Ersoy S. Picek FedML SILM 61 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 68 20 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 37 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 37 50 0 17 Feb 2023
Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities Aleksandr Beznosikov Martin Takáč Alexander Gasnikov 52 10 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 28 54 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 52 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 41 30 0 11 Feb 2023
Knowledge Distillation-based Information Sharing for Online Process Monitoring in Decentralized Manufacturing System Zhangyue Shi Yuxuan Li Chenang Liu 34 8 0 08 Feb 2023
DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning Tomoya Murata Taiji Suzuki 38 9 0 08 Feb 2023
Unsupervised Deep Learning for IoT Time Series Ya Liu Ying Zhou Kai Yang Xiao Wang AI4TS 60 35 0 07 Feb 2023
$z$ -SignFedAvg: A Unified Stochastic Sign-based Compression for Federated Learning Zhiwei Tang Yanmeng Wang Tsung-Hui Chang FedML 40 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 67 48 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 59 51 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 51 19 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 58 11 0 03 Feb 2023
DoCoFL: Downlink Compression for Cross-Device Federated Learning Ron Dorfman S. Vargaftik Y. Ben-Itzhak Kfir Y. Levy FedML 37 19 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 21 0 0 31 Jan 2023
FedFA: Federated Feature Augmentation Tianfei Zhou E. Konukoglu OOD FedML 60 29 0 30 Jan 2023
Does Federated Learning Really Need Backpropagation? Hao Feng Tianyu Pang Chao Du Wei Chen Shuicheng Yan Min Lin FedML 48 10 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 19 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 30 6 0 24 Jan 2023
PolarAir: A Compressed Sensing Scheme for Over-the-Air Federated Learning Michail Gkagkos Krishna R. Narayanan J. Chamberland C. Georghiades 57 0 0 24 Jan 2023
M22: A Communication-Efficient Algorithm for Federated Learning Inspired by Rate-Distortion Yangyi Liu Stefano Rini Sadaf Salehkalaibar Jun Chen FedML 26 4 0 23 Jan 2023
Combined Use of Federated Learning and Image Encryption for Privacy-Preserving Image Classification with Vision Transformer Teru Nagamori Hitoshi Kiya ViT FedML 19 4 0 23 Jan 2023
A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret Sudeep Salgia Qing Zhao T. Gabay Kobi Cohen FedML 61 10 0 21 Jan 2023
On the Vulnerability of Backdoor Defenses for Federated Learning Pei Fang Jinghui Chen FedML 27 32 0 19 Jan 2023
Jamming Attacks on Decentralized Federated Learning in General Multi-Hop Wireless Networks Yi Shi Y. Sagduyu T. Erpek AAML 62 3 0 12 Jan 2023
Federated Learning under Heterogeneous and Correlated Client Availability Angelo Rodio Francescomaria Faticanti Othmane Marfoq Giovanni Neglia Emilio Leonardi FedML 26 27 0 11 Jan 2023
Network Adaptive Federated Learning: Congestion and Lossy Compression Parikshit Hegde G. Veciana Aryan Mokhtari FedML 53 4 0 11 Jan 2023
Federated Learning for Energy Constrained IoT devices: A systematic mapping study Rachid El Mokadem Yann Ben Maissa Zineb El Akkaoui 36 8 0 09 Jan 2023
FedDebug: Systematic Debugging for Federated Learning Applications Waris Gill A. Anwar Muhammad Ali Gulzar FedML 39 11 0 09 Jan 2023
AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices Peichun Li Guoliang Cheng Xumin Huang Jiawen Kang Rong Yu Yuan Wu Miao Pan FedML 74 21 0 08 Jan 2023
IronForge: An Open, Secure, Fair, Decentralized Federated Learning Guangsheng Yu Xu Wang Caijun Sun Qin Wang Ping Yu Wei Ni R. Liu Xiwei Xu OOD AI4CE 43 25 0 07 Jan 2023
Single-round Self-supervised Distributed Learning using Vision Transformer Sangjoon Park Ik-jae Lee Jun Won Kim Jong Chul Ye FedML MedIm 33 1 0 05 Jan 2023