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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
Poisoning Federated Recommender Systems with Fake Users Ming Yin Yichang Xu Minghong Fang Neil Zhenqiang Gong AAML FedML 87 16 0 18 Feb 2024
Wireless Distributed Matrix-Vector Multiplication using Over-the-Air Computation and Analog Coding Jinho Choi 62 1 0 17 Feb 2024
FedD2S: Personalized Data-Free Federated Knowledge Distillation Kawa Atapour S. J. Seyedmohammadi J. Abouei Arash Mohammadi Konstantinos N. Plataniotis FedML 80 3 0 16 Feb 2024
SusFL: Energy-Aware Federated Learning-based Monitoring for Sustainable Smart Farms Dian Chen Paul Yang Ing-Ray Chen D. Ha Jin-Hee Cho 53 4 0 15 Feb 2024
FLASH: Federated Learning Across Simultaneous Heterogeneities Xiangyu Chang Sk. Miraj Ahmed S. Krishnamurthy Başak Güler A. Swami Samet Oymak Amit K. Roy-Chowdhury FedML 74 3 0 13 Feb 2024
Data Reconstruction Attacks and Defenses: A Systematic Evaluation Sheng Liu Zihan Wang Yuxiao Chen Qi Lei AAML MIACV 112 4 0 13 Feb 2024
FedImpro: Measuring and Improving Client Update in Federated Learning Zhenheng Tang Yonggang Zhang Shaoshuai Shi Xinmei Tian Tongliang Liu Bo Han Xiaowen Chu FedML 90 17 0 10 Feb 2024
Flashback: Understanding and Mitigating Forgetting in Federated Learning Mohammed Aljahdali A. Abdelmoniem Marco Canini Samuel Horváth 103 3 0 08 Feb 2024
Fed-CVLC: Compressing Federated Learning Communications with Variable-Length Codes Xiaoxin Su Yipeng Zhou Laizhong Cui John C. S. Lui Jiangchuan Liu FedML 89 2 0 06 Feb 2024
Optimal and Near-Optimal Adaptive Vector Quantization Ran Ben-Basat Y. Ben-Itzhak Michael Mitzenmacher S. Vargaftik MQ 66 4 0 05 Feb 2024
Estimation of conditional average treatment effects on distributed confidential data Yuji Kawamata Ryoki Motai Yukihiko Okada A. Imakura T. Sakurai 48 0 0 05 Feb 2024
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks Yun-Wei Chu Dong-Jun Han Seyyedali Hosseinalipour Christopher G. Brinton AI4CE FedML 82 1 0 03 Feb 2024
Parametric Feature Transfer: One-shot Federated Learning with Foundation Models Mahdi Beitollahi Alex Bie S. Hemati Leo Maxime Brunswic Xu Li Xi Chen Guojun Zhang FedML 109 10 0 02 Feb 2024
Analog-digital Scheduling for Federated Learning: A Communication-Efficient Approach Muhammad Faraz Ul Abrar Nicolò Michelusi 92 2 0 01 Feb 2024
Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Method Elissa Mhanna Mohamad Assaad 148 1 0 30 Jan 2024
FedFair^3: Unlocking Threefold Fairness in Federated Learning Simin Javaherian Sanjeev Panta Shelby Williams Md Sirajul Islam Li Chen FedML 90 4 0 29 Jan 2024
BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning Baoyuan Wu Hongrui Chen Ruotong Wang Zihao Zhu Shaokui Wei Danni Yuan Mingli Zhu Ke Xu Li Liu Chaoxiao Shen AAML ELM 137 11 0 26 Jan 2024
Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side Distillation Vasileios Tsouvalas Aaqib Saeed T. Ozcelebi N. Meratnia FedML 71 7 0 25 Jan 2024
Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems Jikun Gao Ioannis Mavromatis Peizheng Li P. Carnelli Aftab Khan 50 1 0 24 Jan 2024
Budgeted Online Model Selection and Fine-Tuning via Federated Learning P. M. Ghari Yanning Shen FedML 102 2 0 19 Jan 2024
Federated Unlearning for Human Activity Recognition Kongyang Chen Dongping Zhang Yaping Chai Weibin Zhang Shaowei Wang Jiaxing Shen MU 58 29 0 17 Jan 2024
A GAN-based data poisoning framework against anomaly detection in vertical federated learning Xiaolin Chen Daoguang Zan Wei Li Bei Guan Yongji Wang FedML AAML 57 4 0 17 Jan 2024
Security and Privacy Issues and Solutions in Federated Learning for Digital Healthcare Hyejun Jeong Tai-Myung Chung FedML 62 1 0 16 Jan 2024
Optimal Data Splitting in Distributed Optimization for Machine Learning Daniil Medyakov Gleb Molodtsov Aleksandr Beznosikov Alexander Gasnikov 82 3 0 15 Jan 2024
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation Yun-Wei Chu Dong-Jun Han Christopher G. Brinton 140 4 0 15 Jan 2024
The Effects of Data Imbalance Under a Federated Learning Approach for Credit Risk Forecasting Shuyao Zhang Jordan Tay Pedro Baiz FedML 68 3 0 14 Jan 2024
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning Zhangchen Xu Fengqing Jiang Luyao Niu Jinyuan Jia Radha Poovendran 60 0 0 10 Jan 2024
Efficient Fine-Tuning with Domain Adaptation for Privacy-Preserving Vision Transformer Teru Nagamori Sayaka Shiota Hitoshi Kiya 64 2 0 10 Jan 2024
Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training Ngoc-Hieu Nguyen Tuan Nguyen Tuan Nguyen Vu Tien Hoang Dung D. Le Kok-Seng Wong FedML 57 11 0 08 Jan 2024
Distributed client selection with multi-objective in federated learning assisted Internet of Vehicles Narisu Cha Long Chang 47 0 0 06 Jan 2024
FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning Jian Li Yong Liu Wei Wang Haoran Wu Weiping Wang FedML 88 4 0 05 Jan 2024
Facebook Report on Privacy of fNIRS data Md. Imran Hossen Sai Venkatesh Chilukoti Liqun Shan Vijay Srinivas Tida X. Hei 53 0 0 01 Jan 2024
Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning Xiao-Yang Liu Rongyi Zhu Daochen Zha Jiechao Gao Shan Zhong Matt White Meikang Qiu 80 26 0 29 Dec 2023
A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning Hanlin Gu Xinyuan Zhao Gongxi Zhu Yuxing Han Yan Kang Lixin Fan Qiang Yang FedML 72 1 0 27 Dec 2023
Federated Hyperdimensional Computing Kazim Ergun Rishikanth Chandrasekaran Tajana Simunic FedML 54 0 0 26 Dec 2023
W4-Groups: Modeling the Who, What, When and Where of Group Behavior via Mobility Sensing Akanksha Atrey Camellia Zakaria Rajesh Balan Prashant J. Shenoy 46 0 0 22 Dec 2023
Federated Learning with Projected Trajectory Regularization Tiejin Chen Yuanpu Cao Yujia Wang Cho-Jui Hsieh Jinghui Chen FedML 67 0 0 22 Dec 2023
Real-time Neural Network Inference on Extremely Weak Devices: Agile Offloading with Explainable AI Kai Huang Wei Gao 70 36 0 21 Dec 2023
Enhancing Neural Training via a Correlated Dynamics Model Jonathan Brokman Roy Betser Rotem Turjeman Tom Berkov I. Cohen Guy Gilboa 54 3 0 20 Dec 2023
Social Learning: Towards Collaborative Learning with Large Language Models Amirkeivan Mohtashami Florian Hartmann Sian Gooding Lukás Zilka Matt Sharifi Blaise Agüera y Arcas 80 12 0 18 Dec 2023
Value of Information and Timing-aware Scheduling for Federated Learning Muhammad Azeem Khan Howard H. Yang Zihan Chen Antonio Iera Nikolaos Pappas 81 3 0 16 Dec 2023
Greedy Shapley Client Selection for Communication-Efficient Federated Learning Pranava Singhal Shashi Raj Pandey P. Popovski FedML 57 4 0 14 Dec 2023
Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey Yichen Wan Youyang Qu Wei Ni Yong Xiang Longxiang Gao Ekram Hossain AAML 101 43 0 14 Dec 2023
Beyond Gradient and Priors in Privacy Attacks: Leveraging Pooler Layer Inputs of Language Models in Federated Learning Jianwei Li Sheng Liu Qi Lei PILM SILM AAML 88 4 0 10 Dec 2023
FLoW3 -- Web3 Empowered Federated Learning Venkata Raghava Kurada Pallava Kumar Baruah 52 1 0 09 Dec 2023
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 84 9 0 07 Dec 2023
FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning Hossein Fereidooni Alessandro Pegoraro Phillip Rieger Alexandra Dmitrienko Ahmad-Reza Sadeghi AAML 78 15 0 07 Dec 2023
Who Leaked the Model? Tracking IP Infringers in Accountable Federated Learning Shuyang Yu Junyuan Hong Yi Zeng Fei Wang Ruoxi Jia Jiayu Zhou FedML 86 11 0 06 Dec 2023
Privacy-Aware Data Acquisition under Data Similarity in Regression Markets Shashi Raj Pandey Pierre Pinson P. Popovski 67 0 0 05 Dec 2023
Exploring the Robustness of Decentralized Training for Large Language Models Lin Lu Chenxi Dai Wangcheng Tao Binhang Yuan Yanan Sun Pan Zhou 82 1 0 01 Dec 2023