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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
Federated Learning with Relative Fairness Shogo H. Nakakita Tatsuya Kaneko Shinya Takamaeda-Yamazaki Masaaki Imaizumi FedML 78 2 0 02 Nov 2024
Trustworthiness of Stochastic Gradient Descent in Distributed Learning Hongyang Li Caesar Wu Mohammed Chadli Said Mammar Pascal Bouvry 134 1 0 28 Oct 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion Zhenheng Tang Yonggang Zhang Peijie Dong Y. Cheung Amelie Chi Zhou Bo Han Xiaowen Chu FedML MoMe AI4CE 141 9 0 27 Oct 2024
FL-DABE-BC: A Privacy-Enhanced, Decentralized Authentication, and Secure Communication for Federated Learning Framework with Decentralized Attribute-Based Encryption and Blockchain for IoT Scenarios Sathwik Narkedimilli Amballa Venkata Sriram Satvik Raghav 91 0 0 26 Oct 2024
Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data Zhaomin Wu Junyi Hou Yiqun Diao Bingsheng He FedML 76 3 0 23 Oct 2024
Enhancing Federated Learning Convergence with Dynamic Data Queue and Data Entropy-driven Participant Selection Charuka Herath Xiaolan Liu S. Lambotharan Y. Rahulamathavan FedML 52 2 0 23 Oct 2024
Tighter Performance Theory of FedExProx Wojciech Anyszka Kaja Gruntkowska Alexander Tyurin Peter Richtárik FedML 55 0 0 20 Oct 2024
FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning Evelyn Ma Chao Pan Rasoul Etesami Han Zhao Olgica Milenković FedML AAML 72 0 0 16 Oct 2024
From promise to practice: realizing high-performance decentralized training Zesen Wang Jiaojiao Zhang Xuyang Wu M. Johansson 115 0 0 15 Oct 2024
Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting Chunlin Tian Li Li Kahou Tam Yebo Wu Chengzhong Xu FedML 65 3 0 12 Oct 2024
Gradients Stand-in for Defending Deep Leakage in Federated Learning H. Yi H. Ren C. Hu Y. Li J. Deng Xin Xie FedML 54 0 0 11 Oct 2024
A Theoretical Framework for AI-driven data quality monitoring in high-volume data environments Nikhil Bangad Vivekananda Jayaram Manjunatha Sughaturu Krishnappa Amey Ram Banarse Darshan Mohan Bidkar Akshay Nagpal Vidyasagar Parlapalli 37 2 0 11 Oct 2024
Randomized Asymmetric Chain of LoRA: The First Meaningful Theoretical Framework for Low-Rank Adaptation Grigory Malinovsky Umberto Michieli Hasan Hammoud Taha Ceritli Hayder Elesedy Mete Ozay Peter Richtárik AI4CE 97 7 0 10 Oct 2024
A Comprehensive Survey on Joint Resource Allocation Strategies in Federated Edge Learning Jingbo Zhang Qiong Wu Pingyi Fan Nan Cheng FedML 75 0 0 10 Oct 2024
Federated Neural Nonparametric Point Processes Hui Chen Hengyu Liu Hengyu Liu Xuhui Fan Zhilin Zhao Feng Zhou Christopher J. Quinn Longbing Cao FedML 105 0 0 08 Oct 2024
A Seesaw Model Attack Algorithm for Distributed Learning Kun Yang Tianyi Luo Yanjie Dong Aohan Li AAML FedML 39 0 0 07 Oct 2024
pFedGame -- Decentralized Federated Learning using Game Theory in Dynamic Topology Monik Raj Behera Suchetana Chakraborty FedML 58 1 0 05 Oct 2024
MindFlayer SGD: Efficient Parallel SGD in the Presence of Heterogeneous and Random Worker Compute Times Artavazd Maranjyan Omar Shaikh Omar Peter Richtárik 84 4 0 05 Oct 2024
An Intelligent Native Network Slicing Security Architecture Empowered by Federated Learning Rodrigo Moreira R. Villaça Moises R. N. Ribeiro Joberto S. B. Martins J. H. Corrêa Tereza C. Carvalho F. O. Silva 118 6 0 04 Oct 2024
Personalized Quantum Federated Learning for Privacy Image Classification Jinjing Shi Tian Chen Shichao Zhang Xuelong Li FedML 77 0 0 03 Oct 2024
Temporal Predictive Coding for Gradient Compression in Distributed Learning Adrian Edin Zheng Chen Michel Kieffer Mikael Johansson 58 1 0 03 Oct 2024
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning Syed Irfan Ali Meerza Jian-Dong Liu 83 2 0 02 Oct 2024
On the Convergence of FedProx with Extrapolation and Inexact Prox Hanmin Li Peter Richtárik FedML 93 1 0 02 Oct 2024
Overpredictive Signal Analytics in Federated Learning: Algorithms and Analysis Vijay Anavangot FedML 42 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 69 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 145 0 0 29 Sep 2024
Hierarchical Federated Learning with Multi-Timescale Gradient Correction Wenzhi Fang Dong-Jun Han Evan Chen Jianing Zhang Christopher G. Brinton 70 7 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 52 1 0 27 Sep 2024
Immersion and Invariance-based Coding for Privacy-Preserving Federated Learning H. Hayati C. Murguia N. van de Wouw FedML 57 0 0 25 Sep 2024
Communication and Energy Efficient Federated Learning using Zero-Order Optimization Technique Elissa Mhanna Mohamad Assaad 76 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 89 0 0 24 Sep 2024
FLeNS: Federated Learning with Enhanced Nesterov-Newton Sketch Sunny Gupta Mohit Jindal Pankhi Kashyap Pranav Jeevan Amit Sethi FedML 82 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 78 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 114 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 161 15 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 120 7 0 14 Sep 2024
In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting Constantin Philippenko Kevin Scaman Laurent Massoulié FedML 110 1 0 13 Sep 2024
FedHide: Federated Learning by Hiding in the Neighbors Hyunsin Park Sungrack Yun FedML 65 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 64 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 42 0 0 11 Sep 2024
Personalized Federated Learning Techniques: Empirical Analysis Azal Ahmad Khan Ahmad Faraz Khan Haider Ali A. Anwar FedML 94 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 110 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 99 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 43 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 142 0 0 28 Aug 2024
FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization Qianyi Zhao Chen Qu Cen Chen Mingyuan Fan Yanhao Wang 118 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 Shaoshuai Shi Amelie Chi Zhou Xiaowen Chu FedML 89 2 0 27 Aug 2024
Federated Clustering: An Unsupervised Cluster-Wise Training for Decentralized Data Distributions Mirko Nardi Lorenzo Valerio A. Passarella FedML 108 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 125 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 51 1 0 16 Aug 2024