v1v2v3v4 (latest)

Communication-Efficient Learning of Deep Networks from Decentralized Data

17 February 2016

Blaise Agüera y Arcas

FedML

ArXiv (abs)PDF HTML

Papers citing "Communication-Efficient Learning of Deep Networks from Decentralized Data"

50 / 5,671 papers shown

Title
Communication-Efficient Device Scheduling for Federated Learning Using Lyapunov Optimization Jake B. Perazzone Shiqiang Wang Mingyue Ji Kevin S. Chan FedML 137 0 0 01 Mar 2025
FLStore: Efficient Federated Learning Storage for non-training workloads Ahmad Faraz Khan Samuel Fountain Ahmed M. Abdelmoniem A. R. Butt A. Anwar FedML 128 0 0 01 Mar 2025
Asynchronous Personalized Federated Learning through Global Memorization Fan Wan Yongbin Li Xueqi Qiu Rui Sun Lingling Zhang Xingyu Miao Tianyu Zhang Haoran Duan Yang Long 64 0 0 01 Mar 2025
Conditioning on Local Statistics for Scalable Heterogeneous Federated Learning Rickard Brännvall FedML 94 0 0 01 Mar 2025
Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter Zhengyi Zhong Weidong Bao Ji Wang Shuai Zhang Jingxuan Zhou Lingjuan Lyu Wei Yang Bryan Lim FedML MU 168 1 0 28 Feb 2025
Fed-KAN: Federated Learning with Kolmogorov-Arnold Networks for Traffic Prediction E. Zeydan Cristian J. Vaca-Rubio Luis Blanco Roberto Pereira Marius Caus Kapal Dev 76 0 0 28 Feb 2025
FedDyMem: Efficient Federated Learning with Dynamic Memory and Memory-Reduce for Unsupervised Image Anomaly Detection Silin Chen Kangjian Di Yichu Xu Han-Jia Ye Wenhan Luo Ningmu Zou FedML 85 0 0 28 Feb 2025
FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients Leming Shen Qiang Yang Kaiyan Cui Yuanqing Zheng Xiao-Yong Wei Jianwei Liu Jinsong Han FedML 286 11 0 28 Feb 2025
Revisit the Stability of Vanilla Federated Learning Under Diverse Conditions Youngjoon Lee J. Gong Sun Choi Joonhyuk Kang FedML Presented at ResearchTrend Connect \| FedML on 23 Apr 2025 186 1 0 27 Feb 2025
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data Pei-Yau Weng Minh Hoang Lam M. Nguyen My T. Thai Tsui-Wei Weng T. Hoang FedML 153 4 0 27 Feb 2025
FedMentalCare: Towards Privacy-Preserving Fine-Tuned LLMs to Analyze Mental Health Status Using Federated Learning Framework S M Sarwar AI4MH 79 1 0 27 Feb 2025
Can Textual Gradient Work in Federated Learning? Minghui Chen Ruinan Jin Wenlong Deng Yuanyuan Chen Zhi Huang Han Yu Xiaoxiao Li FedML 184 6 0 27 Feb 2025
Optimal Stochastic Trace Estimation in Generative Modeling Xinyang Liu Hengrong Du Wei Deng Ruqi Zhang AI4TS 109 0 0 26 Feb 2025
FAA-CLIP: Federated Adversarial Adaptation of CLIP Yihang Wu Ahmad Chaddad Christian Desrosiers Tareef Daqqaq R. Kateb VLM 106 0 0 26 Feb 2025
Chemical knowledge-informed framework for privacy-aware retrosynthesis learning Guikun Chen Xu Zhang Yue Yang Yong Liu Yi Yang Wenguan Wang 93 0 0 26 Feb 2025
Towards Privacy-Preserving Anomaly-Based Intrusion Detection in Energy Communities Zeeshan Afzal Giovanni Gaggero Mikael Asplund 101 0 0 26 Feb 2025
CLLoRA: An Approach to Measure the Effects of the Context Length for LLM Fine-Tuning Ping Zhang Zhaorui Zhang Sheng Di Yao Xin Benben Liu 105 2 0 26 Feb 2025
The Built-In Robustness of Decentralized Federated Averaging to Bad Data Samuele Sabella Chiara Boldrini Lorenzo Valerio A. Passarella M. Conti FedML 128 0 0 25 Feb 2025
H-FLTN: A Privacy-Preserving Hierarchical Framework for Electric Vehicle Spatio-Temporal Charge Prediction Robert Marlin Raja Jurdak Alsharif Abuadbba 113 0 0 25 Feb 2025
Personalized Federated Learning for Egocentric Video Gaze Estimation with Comprehensive Parameter Frezzing Yuhu Feng Keisuke Maeda Takahiro Ogawa Miki Haseyama FedML EgoV 116 0 0 25 Feb 2025
Differentially Private Federated Learning With Time-Adaptive Privacy Spending Shahrzad Kiani Nupur Kulkarni Adam Dziedzic S. Draper Franziska Boenisch FedML Presented at ResearchTrend Connect \| FedML on 28 Mar 2025 231 1 0 25 Feb 2025
Compute Or Load KV Cache? Why Not Both? Shuowei Jin Xueshen Liu Qingzhao Zhang Z. Morley Mao 71 0 0 24 Feb 2025
Graphon Particle Systems, Part II: Dynamics of Distributed Stochastic Continuum Optimization Yan Chen Tao Li 108 1 0 24 Feb 2025
Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning Raghav Singhal Kaustubh Ponkshe Rohit Vartak Lav R. Varshney Praneeth Vepakomma FedML 130 4 0 24 Feb 2025
Learning with Limited Shared Information in Multi-agent Multi-armed Bandit Junning Shao Siwei Wang Zhixuan Fang 183 0 0 24 Feb 2025
R-MTLLMF: Resilient Multi-Task Large Language Model Fusion at the Wireless Edge Aladin Djuhera Vlad-Costin Andrei Mohsen Pourghasemian Haris Gacanin Holger Boche Walid Saad MoMe 204 0 0 24 Feb 2025
Robust Federated Learning in Unreliable Wireless Networks: A Client Selection Approach Yansen Wang Wenkai Ji Jian Zhou Fu Xiao Tsung-Hui Chang 132 0 0 24 Feb 2025
FedSV: Byzantine-Robust Federated Learning via Shapley Value Khaoula Otmani Rachid Elazouzi Vincent Labatut FedML AAML 194 2 0 24 Feb 2025
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning Xingbo Fu Zihan Chen Yinhan He Song Wang Binchi Zhang Chen Chen Jundong Li OOD FedML 203 1 0 24 Feb 2025
FedBM: Stealing Knowledge from Pre-trained Language Models for Heterogeneous Federated Learning Meilu Zhu Qiushi Yang Zhifan Gao Yixuan Yuan Jun Liu FedML 138 0 0 24 Feb 2025
Feature Aggregation with Latent Generative Replay for Federated Continual Learning of Socially Appropriate Robot Behaviours Nikhil Churamani Saksham Checker Fethiye Irmak Dogan Hao-Tien Lewis Chiang Hatice Gunes FedML 165 1 0 24 Feb 2025
FedNIA: Noise-Induced Activation Analysis for Mitigating Data Poisoning in FL Ehsan Hallaji R. Razavi-Far M. Saif AAML 91 0 0 23 Feb 2025
TrustChain: A Blockchain Framework for Auditing and Verifying Aggregators in Decentralized Federated Learning Ehsan Hallaji R. Razavi-Far M. Saif 75 0 0 23 Feb 2025
Multi-Target Federated Backdoor Attack Based on Feature Aggregation Lingguag Hao K. Hao Bing Wei Xue-song Tang FedML AAML 118 0 0 23 Feb 2025
A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments Kaixiang Zhao Lincan Li Kaize Ding Neil Zhenqiang Gong Yue Zhao Yushun Dong AAML 82 1 0 22 Feb 2025
MedForge: Building Medical Foundation Models Like Open Source Software Development Zheling Tan Kexin Ding Jin Gao Mu Zhou Dimitris N. Metaxas Shaoting Zhang Dequan Wang AI4CE 124 2 0 22 Feb 2025
SEAFL: Enhancing Efficiency in Semi-Asynchronous Federated Learning through Adaptive Aggregation and Selective Training Md Sirajul Islam Sanjeev Panta F. Xu Xu Yuan Li Chen N. Tzeng FedML 106 0 0 22 Feb 2025
Blockchain-based Framework for Scalable and Incentivized Federated Learning Bijun Wu Oshani Seneviratne FedML 122 0 0 21 Feb 2025
Orthogonal Calibration for Asynchronous Federated Learning Jiayun Zhang Shuheng Li Haiyu Huang Xiaofan Yu Rajesh K. Gupta Jingbo Shang FedML 101 0 0 21 Feb 2025
Federated Fine-Tuning of Large Language Models: Kahneman-Tversky vs. Direct Preference Optimization Fernando Spadea Oshani Seneviratne 82 1 0 21 Feb 2025
Smoothed Normalization for Efficient Distributed Private Optimization Egor Shulgin Sarit Khirirat Peter Richtárik FedML 144 0 0 20 Feb 2025
FedMobile: Enabling Knowledge Contribution-aware Multi-modal Federated Learning with Incomplete Modalities Yi Liu Cong Wang Lizhen Qu 97 0 0 20 Feb 2025
Homophily Heterogeneity Matters in Graph Federated Learning: A Spectrum Sharing and Complementing Perspective Wentao Yu FedML 109 0 0 20 Feb 2025
Accurate Forgetting for Heterogeneous Federated Continual Learning Abudukelimu Wuerkaixi Sen Cui J.N. Zhang Kunda Yan Bo Han Gang Niu Lei Fang Changshui Zhang Masashi Sugiyama 256 12 0 20 Feb 2025
Federated Variational Inference for Bayesian Mixture Models Jackie Rao Francesca L. Crowe Tom Marshall S. Richardson Paul D. W. Kirk FedML 165 0 0 18 Feb 2025
Decentralized and Robust Privacy-Preserving Model Using Blockchain-Enabled Federated Deep Learning in Intelligent Enterprises Reza Fotohi Fereidoon Shams Aliee Bahar Farahani FedML 161 8 0 18 Feb 2025
Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection Keigo Nogami Tamura Hiroto Gouhei Tanaka FedML 186 0 0 17 Feb 2025
VT-GAN: Cooperative Tabular Data Synthesis using Vertical Federated Learning Zilong Zhao Han Wu Aad van Moorsel L. Chen FedML 116 5 0 17 Feb 2025
Contrastive Federated Learning with Tabular Data Silos Achmad Ginanjar Xue Li Wen Hua Jiaming Pei FedML 172 3 0 17 Feb 2025
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning Saber Malekmohammadi Yaoliang Yu Yang Cao FedML 168 6 0 17 Feb 2025