Communication-Efficient Learning of Deep Networks from Decentralized Data

17 February 2016

Blaise Agüera y Arcas

FedML

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

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InFL-UX: A Toolkit for Web-Based Interactive Federated Learning Tim Maurer Abdulrahman Mohamed Selim Hasan Md Tusfiqur Alam Matthias Eiletz Michael Barz Daniel Sonntag FedML 54 0 0 06 Mar 2025
Subgraph Federated Learning for Local Generalization Sungwon Kim Yoonho Lee Yunhak Oh Namkyeong Lee Sukwon Yun Junseok Lee Sein Kim Carl Yang Chanyoung Park FedML OOD 92 2 0 06 Mar 2025
SpinML: Customized Synthetic Data Generation for Private Training of Specialized ML Models Jiang Zhang Rohan Sequeira Konstantinos Psounis SyDa 83 0 0 05 Mar 2025
Knowledge Augmentation in Federation: Rethinking What Collaborative Learning Can Bring Back to Decentralized Data Wentai Wu Ligang He Saiqin Long Ahmed M. Abdelmoniem Yingliang Wu Rui Mao 62 0 0 05 Mar 2025
MAB-Based Channel Scheduling for Asynchronous Federated Learning in Non-Stationary Environments Zehan Li Yubo Yang Tao Yang X. Wu Ziyu Guo Bo Hu 64 0 0 03 Mar 2025
A Lightweight and Secure Deep Learning Model for Privacy-Preserving Federated Learning in Intelligent Enterprises Reza Fotohi Fereidoon Shams Aliee Bahar Farahani FedML 73 1 0 03 Mar 2025
Heterogeneity Matters even More in Distributed Learning: Study from Generalization Perspective Masoud Kavian Romain Chor Milad Sefidgaran Abdellatif Zaidi FedML 55 1 0 03 Mar 2025
Communication-Efficient Device Scheduling for Federated Learning Using Lyapunov Optimization Jake B. Perazzone Shiqiang Wang Mingyue Ji Kevin S. Chan FedML 75 0 0 01 Mar 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 79 11 0 28 Feb 2025
FedMentalCare: Towards Privacy-Preserving Fine-Tuned LLMs to Analyze Mental Health Status Using Federated Learning Framework S M Sarwar AI4MH 51 0 0 27 Feb 2025
FAA-CLIP: Federated Adversarial Adaptation of CLIP Yihang Wu A. Chaddad Christian Desrosiers Tareef Daqqaq R. Kateb VLM 53 0 0 26 Feb 2025
Chemical knowledge-informed framework for privacy-aware retrosynthesis learning Guikun Chen Xu Zhang Yue Yang Wenguan Wang 47 0 0 26 Feb 2025
Graphon Particle Systems, Part II: Dynamics of Distributed Stochastic Continuum Optimization Yan Chen Tao Li 56 1 0 24 Feb 2025
FedSV: Byzantine-Robust Federated Learning via Shapley Value Khaoula Otmani Rachid Elazouzi Vincent Labatut FedML AAML 90 2 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 79 1 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 91 1 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 69 1 0 24 Feb 2025
Compute Or Load KV Cache? Why Not Both? Shuowei Jin Xueshen Liu Qingzhao Zhang Z. Morley Mao 41 7 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 45 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 118 0 0 24 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 52 0 0 22 Feb 2025
Orthogonal Calibration for Asynchronous Federated Learning Jiayun Zhang Shuheng Li Haiyu Huang Xiaofan Yu Rajesh K. Gupta Jingbo Shang FedML 65 0 0 21 Feb 2025
FedCC: Robust Federated Learning against Model Poisoning Attacks Hyejun Jeong H. Son Seohu Lee Jayun Hyun T. Chung FedML 64 6 0 20 Feb 2025
Accurate Forgetting for Heterogeneous Federated Continual Learning Abudukelimu Wuerkaixi Sen Cui Jiaming Zhang Kunda Yan Bo Han Gang Niu Lei Fang Changshui Zhang Masashi Sugiyama 119 8 0 20 Feb 2025
FedMobile: Enabling Knowledge Contribution-aware Multi-modal Federated Learning with Incomplete Modalities Yi Liu Cong Wang Xingliang Yuan 47 1 0 20 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 82 8 0 18 Feb 2025
Federated Variational Inference for Bayesian Mixture Models Jackie Rao Francesca L. Crowe Tom Marshall S. Richardson Paul D. W. Kirk FedML 100 0 0 18 Feb 2025
Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection Keigo Nogami Tamura Hiroto Gouhei Tanaka FedML 85 0 0 17 Feb 2025
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning Saber Malekmohammadi Yaoliang Yu Yang Cao FedML 88 6 0 17 Feb 2025
Contrastive Federated Learning with Tabular Data Silos Achmad Ginanjar Xue Li Wen Hua Jiaming Pei FedML 79 2 0 17 Feb 2025
Efficient Zero-Order Federated Finetuning of Language Models for Resource-Constrained Devices Mohamed Aboelenien Ahmed Kilian Pfeiffer R. Khalili Heba Khdr J. Henkel FedML 94 0 0 17 Feb 2025
Ten Challenging Problems in Federated Foundation Models Tao Fan Hanlin Gu Xuemei Cao Chee Seng Chan Qian Chen ... Yuanyuan Zhang Xiaojin Zhang Zhenzhe Zheng Lixin Fan Qiang Yang FedML 89 4 0 14 Feb 2025
FBFL: A Field-Based Coordination Approach for Data Heterogeneity in Federated Learning D. Domini G. Aguzzi L. Esterle Mirko Viroli FedML 81 0 0 12 Feb 2025
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data Yuxia Sun Aoxiang Sun Siyi Pan Zhixiao Fu Jingcai Guo 86 0 0 11 Feb 2025
Vision-Language Models for Edge Networks: A Comprehensive Survey Ahmed Sharshar Latif U. Khan Waseem Ullah Mohsen Guizani VLM 75 3 0 11 Feb 2025
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead Won-Jun Jang Hyeon-Seo Park Si-Hyeon Lee FedML 253 0 0 10 Feb 2025
Secure Visual Data Processing via Federated Learning Pedro Santos Tânia Carvalho Filipe Magalhães Luís Antunes FedML 64 0 0 09 Feb 2025
Privacy-Preserving Dataset Combination Keren Fuentes Mimee Xu Irene Chen 48 0 0 09 Feb 2025
Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach Chaouki Ben Issaid Praneeth Vepakomma Mehdi Bennis 84 0 0 03 Feb 2025
Robust Federated Finetuning of LLMs via Alternating Optimization of LoRA Shuangyi Chen Yuanxin Guo Yue Ju Harik Dalal Ashish Khisti 53 2 0 03 Feb 2025
FedGES: A Federated Learning Approach for BN Structure Learning Pablo Torrijos J. A. Gamez J. M. Puerta FedML 74 1 0 03 Feb 2025
A Privacy-Preserving Domain Adversarial Federated learning for multi-site brain functional connectivity analysis Wenjie Qu Likai Wang Kuan-Jui Su Aiying Zhang Hao Zhu Xiaowen Liu Hui Shen Vince D. Calhoun Yuping Wang H. Deng 63 0 0 03 Feb 2025
Decoding FL Defenses: Systemization, Pitfalls, and Remedies M. A. Khan Virat Shejwalkar Yasra Chandio Amir Houmansadr Fatima M. Anwar AAML 40 0 0 03 Feb 2025
Federated Learning with Discriminative Naive Bayes Classifier Pablo Torrijos Juan C. Alfaro J. A. Gamez J. M. Puerta FedML 45 0 0 03 Feb 2025
Position: AI Scaling: From Up to Down and Out Yunke Wang Yanxi Li Chang Xu HAI 96 2 0 02 Feb 2025
ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning Artavazd Maranjyan El Mehdi Saad Peter Richtárik Francesco Orabona 57 0 0 02 Feb 2025
Data Overvaluation Attack and Truthful Data Valuation Shuyuan Zheng Sudong Cai Chuan Xiao Yang Cao Jianbin Qin Masatoshi Yoshikawa Makoto Onizuka TDI AAML 70 0 0 01 Feb 2025
FL-APU: A Software Architecture to Ease Practical Implementation of Cross-Silo Federated Learning F. Stricker J. A. Peregrina D. Bermbach C. Zirpins FedML 78 0 0 31 Jan 2025
Meta-learning of shared linear representations beyond well-specified linear regression Mathieu Even Laurent Massoulié 44 0 0 31 Jan 2025
Update Estimation and Scheduling for Over-the-Air Federated Learning with Energy Harvesting Devices Furkan Bagci Busra Tegin M. Kazemi T. Duman 38 0 0 30 Jan 2025