Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016

Dave Bacon

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

50 / 1,848 papers shown

Title
KnFu: Effective Knowledge Fusion Seyed Jamal Seyed-Mohammadi Kawa Atapour J. Abouei Arash Mohammadi FedML 31 2 0 18 Mar 2024
Fed3DGS: Scalable 3D Gaussian Splatting with Federated Learning Teppei Suzuki 46 9 0 18 Mar 2024
Pencil: Private and Extensible Collaborative Learning without the Non-Colluding Assumption Xuanqi Liu Zhuotao Liu Qi Li Ke Xu Mingwei Xu 19 7 0 17 Mar 2024
Federated Learning with Anomaly Detection via Gradient and Reconstruction Analysis Zahir Alsulaimawi 23 0 0 15 Mar 2024
Sentinel-Guided Zero-Shot Learning: A Collaborative Paradigm without Real Data Exposure Fan Wan Xingyu Miao Haoran Duan Jingjing Deng Rui Gao Yang Long VLM 41 4 0 14 Mar 2024
RAF-GI: Towards Robust, Accurate and Fast-Convergent Gradient Inversion Attack in Federated Learning Can Liu Jin Wang Dong-Yang Yu AAML 19 0 0 13 Mar 2024
Cyclic Data Parallelism for Efficient Parallelism of Deep Neural Networks Louis Fournier Edouard Oyallon 49 0 0 13 Mar 2024
MGIC: A Multi-Label Gradient Inversion Attack based on Canny Edge Detection on Federated Learning Can Liu Jin Wang 19 1 0 13 Mar 2024
Efficient Language Model Architectures for Differentially Private Federated Learning Jae Hun Ro Srinadh Bhojanapalli Zheng Xu Yanxiang Zhang A. Suresh FedML 47 2 0 12 Mar 2024
MPCPA: Multi-Center Privacy Computing with Predictions Aggregation based on Denoising Diffusion Probabilistic Model Guibo Luo Hanwen Zhang Xiuling Wang Mingzhi Chen Yuesheng Zhu DiffM 43 1 0 12 Mar 2024
Fake or Compromised? Making Sense of Malicious Clients in Federated Learning Hamid Mozaffari Sunav Choudhary Amir Houmansadr 46 2 0 10 Mar 2024
FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation Yuxi Liu Guibo Luo Yuesheng Zhu FedML MedIm 28 4 0 08 Mar 2024
Architectural Blueprint For Heterogeneity-Resilient Federated Learning Satwat Bashir T. Dagiuklas Kasra Kassai Muddesar Iqbal 26 1 0 07 Mar 2024
Enhancing Data Quality in Federated Fine-Tuning of Foundation Models Wanru Zhao Yaxin Du Nicholas D. Lane Siheng Chen Yanfeng Wang 35 3 0 07 Mar 2024
Boosting Fairness and Robustness in Over-the-Air Federated Learning Halil Yigit Oksuz Fabio Molinari Henning Sprekeler Joerg Raisch FedML 32 0 0 07 Mar 2024
LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression Laurent Condat A. Maranjyan Peter Richtárik 47 3 0 07 Mar 2024
Enhancing Security in Federated Learning through Adaptive Consensus-Based Model Update Validation Zahir Alsulaimawi AAML FedML 33 2 0 05 Mar 2024
FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models Younghan Lee Yungi Cho Woorim Han Ho Bae Y. Paek FedML AAML 27 2 0 05 Mar 2024
MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods Mou Wu Haibin Liao Zhengtao Ding Yonggang Xiao 26 2 0 05 Mar 2024
Partial Federated Learning Tiantian Feng Anil Ramakrishna Jimit Majmudar Charith Peris Jixuan Wang Clement Chung Richard Zemel Morteza Ziyadi Rahul Gupta 44 1 0 03 Mar 2024
Enhancing Data Provenance and Model Transparency in Federated Learning Systems -- A Database Approach Michael Gu Ramasoumya Naraparaju Dongfang Zhao FedML 20 0 0 03 Mar 2024
On the Convergence of Federated Learning Algorithms without Data Similarity Ali Beikmohammadi Sarit Khirirat Sindri Magnússon FedML 38 1 0 29 Feb 2024
Communication Efficient ConFederated Learning: An Event-Triggered SAGA Approach Bin Wang Jun Fang Hongbin Li Yonina C. Eldar FedML 30 1 0 28 Feb 2024
Machina Economicus: A New Paradigm for Prosumers in the Energy Internet of Smart Cities Luyang Hou Jun Yan Yuankai Wu Chun Wang Tie Qiu 19 0 0 28 Feb 2024
Consensus learning: A novel decentralised ensemble learning paradigm Horia Magureanu Nairi Usher 42 1 0 25 Feb 2024
How to Privately Tune Hyperparameters in Federated Learning? Insights from a Benchmark Study Natalija Mitic Apostolos Pyrgelis Sinem Sav FedML 58 1 0 25 Feb 2024
Federated Fairness without Access to Sensitive Groups Afroditi Papadaki Natalia Martínez Martín Bertrán Guillermo Sapiro Miguel R. D. Rodrigues FedML 40 2 0 22 Feb 2024
Efficient Unbiased Sparsification Leighton Barnes Timothy Chow Emma Cohen Keith Frankston Benjamin Howard Fred Kochman Daniel Scheinerman Jeffrey VanderKam OT 34 1 0 22 Feb 2024
Fog enabled distributed training architecture for federated learning Aditya Kumar S. Srirama 24 1 0 20 Feb 2024
Heterogeneity-aware Cross-school Electives Recommendation: a Hybrid Federated Approach Chengyi Ju Jiannong Cao Yu Yang Zhen-Qun Yang Ho Man Lee 18 0 0 19 Feb 2024
Poisoning Federated Recommender Systems with Fake Users Ming Yin Yichang Xu Minghong Fang Neil Zhenqiang Gong AAML FedML 40 13 0 18 Feb 2024
Wireless Distributed Matrix-Vector Multiplication using Over-the-Air Computation and Analog Coding Jinho Choi 21 0 0 17 Feb 2024
FedD2S: Personalized Data-Free Federated Knowledge Distillation Kawa Atapour S. J. Seyedmohammadi J. Abouei Arash Mohammadi Konstantinos N. Plataniotis FedML 30 2 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 26 1 0 15 Feb 2024
FLASH: Federated Learning Across Simultaneous Heterogeneities Xiangyu Chang Sk. Miraj Ahmed S. Krishnamurthy Başak Güler A. Swami Samet Oymak A. Roy-Chowdhury FedML 26 2 0 13 Feb 2024
Data Reconstruction Attacks and Defenses: A Systematic Evaluation Sheng Liu Zihan Wang Yuxiao Chen Qi Lei AAML MIACV 61 4 0 13 Feb 2024
FedImpro: Measuring and Improving Client Update in Federated Learning Zhenheng Tang Yonggang Zhang S. Shi Xinmei Tian Tongliang Liu Bo Han Xiaowen Chu FedML 26 13 0 10 Feb 2024
Flashback: Understanding and Mitigating Forgetting in Federated Learning Mohammed Aljahdali A. Abdelmoniem Marco Canini Samuel Horváth 34 2 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 35 1 0 06 Feb 2024
Optimal and Near-Optimal Adaptive Vector Quantization Ran Ben-Basat Y. Ben-Itzhak Michael Mitzenmacher S. Vargaftik MQ 29 3 0 05 Feb 2024
Estimation of conditional average treatment effects on distributed data: A privacy-preserving approach Yuji Kawamata Ryoki Motai Yukihiko Okada A. Imakura T. Sakurai 16 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 Brinton AI4CE FedML 35 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 74 8 0 02 Feb 2024
Analog-digital Scheduling for Federated Learning: A Communication-Efficient Approach Muhammad Faraz Ul Abrar Nicolò Michelusi 41 2 0 01 Feb 2024
Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Method Elissa Mhanna Mohamad Assaad 49 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 21 4 0 29 Jan 2024
BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning Baoyuan Wu Hongrui Chen Mingda Zhang Zihao Zhu Shaokui Wei Danni Yuan Mingli Zhu Ruotong Wang Li Liu Chaoxiao Shen AAML ELM 78 9 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 45 6 0 25 Jan 2024
Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems Jikun Gao Ioannis Mavromatis Peizheng Li P. Carnelli Aftab Khan 37 0 0 24 Jan 2024
Budgeted Online Model Selection and Fine-Tuning via Federated Learning P. M. Ghari Yanning Shen FedML 46 1 0 19 Jan 2024