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
Personalized Quantum Federated Learning for Privacy Image Classification Jinjing Shi Tian Chen Shichao Zhang Xuelong Li FedML 33 0 0 03 Oct 2024
Temporal Predictive Coding for Gradient Compression in Distributed Learning Adrian Edin Zheng Chen Michel Kieffer Mikael Johansson 32 1 0 03 Oct 2024
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning Syed Irfan Ali Meerza Jian-Dong Liu 37 2 0 02 Oct 2024
On the Convergence of FedProx with Extrapolation and Inexact Prox Hanmin Li Peter Richtárik FedML 29 0 0 02 Oct 2024
Overpredictive Signal Analytics in Federated Learning: Algorithms and Analysis Vijay Anavangot FedML 16 0 0 02 Oct 2024
Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System Ravi K. Madduri Zilinghan Li Tarak Nandi Kibaek Kim Minseok Ryu Alex Rodriguez 35 1 0 29 Sep 2024
Convergence-aware Clustered Federated Graph Learning Framework for Collaborative Inter-company Labor Market Forecasting Zhuoning Guo Hao Liu Le Zhang Qi Zhang Hengshu Zhu Hui Xiong AI4TS FedML 22 0 0 29 Sep 2024
Hierarchical Federated Learning with Multi-Timescale Gradient Correction Wenzhi Fang Dong-Jun Han Evan Chen Shiqiang Wang Christopher G. Brinton 34 4 0 27 Sep 2024
FedDCL: a federated data collaboration learning as a hybrid-type privacy-preserving framework based on federated learning and data collaboration A. Imakura Tetsuya Sakurai FedML 19 1 0 27 Sep 2024
Immersion and Invariance-based Coding for Privacy-Preserving Federated Learning H. Hayati C. Murguia N. van de Wouw FedML 23 0 0 25 Sep 2024
Communication and Energy Efficient Federated Learning using Zero-Order Optimization Technique Elissa Mhanna Mohamad Assaad 27 0 0 24 Sep 2024
FedRepOpt: Gradient Re-parametrized Optimizers in Federated Learning Kin Wai Lau Yasar Abbas Ur Rehman Pedro Porto Buarque de Gusmão L. Po Lan Ma Yuyang Xie FedML 34 0 0 24 Sep 2024
FLeNS: Federated Learning with Enhanced Nesterov-Newton Sketch Sunny Gupta Mohit Jindal Pankhi Kashyap Pranav Jeevan Amit Sethi FedML 34 0 0 23 Sep 2024
Perfect Gradient Inversion in Federated Learning: A New Paradigm from the Hidden Subset Sum Problem Qiongxiu Li Lixia Luo Agnese Gini Changlong Ji Zhanhao Hu Xiao-Li Li Chengfang Fang Jie Shi Xiaolin Hu FedML 34 3 0 21 Sep 2024
CorBin-FL: A Differentially Private Federated Learning Mechanism using Common Randomness Hojat Allah Salehi Md Jueal Mia S. Sandeep Pradhan M. Hadi Amini Farhad Shirani FedML 36 0 0 20 Sep 2024
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework Zilinghan Li Shilan He Ze Yang Minseok Ryu Kibaek Kim Ravi K. Madduri FedML 60 5 0 17 Sep 2024
Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving ML Siddhant Dutta Pavana P Karanth Pedro Maciel Xavier Iago Leal de Freitas Nouhaila Innan Sadok Ben Yahia Muhammad Shafique David E. Bernal Neira FedML 42 7 0 14 Sep 2024
In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting Constantin Philippenko Kevin Scaman Laurent Massoulié FedML 29 1 0 13 Sep 2024
FedHide: Federated Learning by Hiding in the Neighbors Hyunsin Park Sungrack Yun FedML 28 0 0 12 Sep 2024
FedProphet: Memory-Efficient Federated Adversarial Training via Robust and Consistent Cascade Learning Minxue Tang Yitu Wang Jingyang Zhang Louis DiValentin Aolin Ding Amin Hass Yiran Chen Hai "Helen" Li FedML AAML 26 0 0 12 Sep 2024
$Federated $\mathcal{X}$-armed Bandit with Flexible Personalisation$ Federated $\mathcal{X}$ -armed Bandit with Flexible Personalisation Ali Arabzadeh James A. Grant David S. Leslie FedML 21 0 0 11 Sep 2024
Personalized Federated Learning Techniques: Empirical Analysis Azal Ahmad Khan Ahmad Faraz Khan Haider Ali A. Anwar FedML 43 1 0 10 Sep 2024
DynamicFL: Federated Learning with Dynamic Communication Resource Allocation Qi Le Enmao Diao Xinran Wang Vahid Tarokh Jie Ding Ali Anwar FedML 34 1 0 08 Sep 2024
Buffer-based Gradient Projection for Continual Federated Learning Shenghong Dai Jy-yong Sohn Yicong Chen S. Alam Ravikumar Balakrishnan Suman Banerjee N. Himayat Kangwook Lee FedML 75 2 0 03 Sep 2024
Federated Aggregation of Mallows Rankings: A Comparative Analysis of Borda and Lehmer Coding Jin Sima Vishal Rana Olgica Milenkovic FedML 21 0 0 01 Sep 2024
Protecting Privacy in Federated Time Series Analysis: A Pragmatic Technology Review for Application Developers Daniel Bachlechner Ruben Hetfleisch Stephan Krenn Thomas Lorünser Michael Rader 23 0 0 28 Aug 2024
FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization Qianyi Zhao Chen Qu Cen Chen Mingyuan Fan Yanhao Wang 33 1 0 28 Aug 2024
Bandwidth-Aware and Overlap-Weighted Compression for Communication-Efficient Federated Learning Zichen Tang Junlin Huang Rudan Yan Yuxin Wang Zhenheng Tang S. Shi Amelie Chi Zhou Xiaowen Chu FedML 52 2 0 27 Aug 2024
Federated Clustering: An Unsupervised Cluster-Wise Training for Decentralized Data Distributions Mirko Nardi Lorenzo Valerio A. Passarella FedML 22 0 0 20 Aug 2024
Byzantine-resilient Federated Learning Employing Normalized Gradients on Non-IID Datasets Shiyuan Zuo Xingrun Yan Rongfei Fan Li Shen Puning Zhao Jie Xu Han Hu FedML 39 1 0 18 Aug 2024
FedFQ: Federated Learning with Fine-Grained Quantization Haowei Li Weiying Xie Hangyu Ye Jitao Ma Shuran Ma Yunsong Li FedML MQ 33 1 0 16 Aug 2024
Random Gradient Masking as a Defensive Measure to Deep Leakage in Federated Learning Joon Kim Sejin Park AAML FedML 40 1 0 15 Aug 2024
Centralized and Federated Heart Disease Classification Models Using UCI Dataset and their Shapley-value Based Interpretability Mario Padilla Rodriguez Mohamed Nafea FedML 36 0 0 12 Aug 2024
Deep Learning with Data Privacy via Residual Perturbation Wenqi Tao Huaming Ling Zuoqiang Shi Bao Wang 21 2 0 11 Aug 2024
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data Ji Liu Juncheng Jia Hong Zhang Yuhui Yun Leye Wang Yang Zhou H. Dai Dejing Dou FedML 30 5 0 11 Aug 2024
Model Hijacking Attack in Federated Learning Zheng Li Siyuan Wu Ruichuan Chen Paarijaat Aditya Istemi Ekin Akkus Manohar Vanga Min Zhang Hao Li Yang Zhang FedML AAML 32 0 0 04 Aug 2024
Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix Yang Jin Sihun Baek Lei Zhang Hyelin Nam Praneeth Vepakomma Ramesh Raskar Mehdi Bennis Seong-Lyun Kim 36 2 0 02 Aug 2024
Private Collaborative Edge Inference via Over-the-Air Computation Selim F. Yilmaz Burak Hasircioglu Li Qiao Deniz Gunduz FedML 58 1 0 30 Jul 2024
Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchain Weiliang Chen Li Jia Yang Zhou Qianqian Ren 34 0 0 28 Jul 2024
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction Feijie Wu Xingchen Wang Yaqing Wang Tianci Liu Lu Su Jing Gao FedML 51 3 0 28 Jul 2024
SCALE: Self-regulated Clustered federAted LEarning in a Homogeneous Environment Sai Puppala Ismail Hossain Md. jahangir Alam Sajedul Talukder Zahidur Talukder Syed Bahauddin 44 3 0 25 Jul 2024
SFPrompt: Communication-Efficient Split Federated Fine-Tuning for Large Pre-Trained Models over Resource-Limited Devices Linxiao Cao Yifei Zhu Wei Gong FedML 20 2 0 24 Jul 2024
Addressing Data Heterogeneity in Federated Learning of Cox Proportional Hazards Models Navid Seidi Satyaki Roy Sajal Kumar Das Ardhendu Shekhar Tripathy 33 2 0 20 Jul 2024
Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational Models Simha Sankar Baradwaj Destiny Gilliland Jack Rincon Henning Hermjakob Yu Yan ... Dean Wang Karol Watson Alex Bui Wei Wang Peipei Ping 48 5 0 18 Jul 2024
CCVA-FL: Cross-Client Variations Adaptive Federated Learning for Medical Imaging Sunny Gupta Amit Sethi MedIm 19 0 0 16 Jul 2024
Detection of Global Anomalies on Distributed IoT Edges with Device-to-Device Communication H. Ochiai Riku Nishihata Eisuke Tomiyama Yuwei Sun Hiroshi Esaki 16 3 0 16 Jul 2024
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning Shihua Sun Shridatt Sugrim Angelos Stavrou Haining Wang AAML 63 1 0 13 Jul 2024
BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Ning Wang Shanghao Shi Yang Xiao Yimin Chen Y. T. Hou W. Lou FedML AAML 36 1 0 12 Jul 2024
Combining Federated Learning and Control: A Survey Jakob Weber Markus Gurtner A. Lobe Adrian Trachte Andreas Kugi FedML AI4CE 34 2 0 12 Jul 2024
CURE: Privacy-Preserving Split Learning Done Right Halil Ibrahim Kanpak Aqsa Shabbir Esra Genç Alptekin Küpçü Sinem Sav 24 0 0 12 Jul 2024