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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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Integration of TinyML and LargeML: A Survey of 6G and Beyond Thai-Hoc Vu Ngo Hoang Tu Thien Huynh-The Kyungchun Lee Sunghwan Kim Miroslav Voznak Quoc-Viet Pham 71 0 0 20 May 2025
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Layer-wise Quantization for Quantized Optimistic Dual Averaging Anh Duc Nguyen Ilia Markov Frank Zhengqing Wu Ali Ramezani-Kebrya Kimon Antonakopoulos Dan Alistarh Volkan Cevher MQ 74 0 0 20 May 2025
Personalized Bayesian Federated Learning with Wasserstein Barycenter Aggregation Ting Wei Biao Mei Junliang Lyu Renquan Zhang Feng Zhou Yifan Sun FedML 75 0 0 20 May 2025
Federated prediction for scalable and privacy-preserved knowledge-based planning in radiotherapy Jingyun Chen David Horowitz Yading Yuan MedIm AI4CE 71 0 0 20 May 2025
Efficient Privacy-Preserving Cross-Silo Federated Learning with Multi-Key Homomorphic Encryption Abdullah Al Omar Xin Yang Euijin Choo Omid Ardakanian 53 0 0 20 May 2025
RIFLES: Resource-effIcient Federated LEarning via Scheduling Sara Alosaime Arshad Jhumka FedML 52 0 0 19 May 2025
Traceable Black-box Watermarks for Federated Learning Jiahao Xu Rui Hu Olivera Kotevska Zikai Zhang FedML 84 0 0 19 May 2025
FLTG: Byzantine-Robust Federated Learning via Angle-Based Defense and Non-IID-Aware Weighting Yanhua Wen Lu Ai Gang Liu Chuang Li Jianhao Wei AAML 48 0 0 19 May 2025
FedCTTA: A Collaborative Approach to Continual Test-Time Adaptation in Federated Learning Rakibul Hasan Rajib Md Akil Raihan Iftee Mir Sazzat Hossain A. K. M. Mahbubur Rahman Sajib Mistry M Ashraful Amin Amin Ahsan Ali FedML TTA 106 0 0 19 May 2025
FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA Seanie Lee Sangwoo Park Dong Bok Lee Dominik Wagner Haebin Seong Tobias Bocklet Juho Lee Sung Ju Hwang FedML 113 0 0 19 May 2025
Unlearning for Federated Online Learning to Rank: A Reproducibility Study Yiling Tao Shuyi Wang Jiaxi Yang Guido Zuccon MU 118 0 0 19 May 2025
FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Sara Alosaime Arshad Jhumka 35 0 0 19 May 2025
Optimal Client Sampling in Federated Learning with Client-Level Heterogeneous Differential Privacy Jiahao Xu Rui Hu Olivera Kotevska FedML 69 0 0 19 May 2025
SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Peihua Mai Youlong Ding Ziyan Lyu Minxin Du Yan Pang FedML 83 0 0 18 May 2025
$γ$ -FedHT: Stepsize-Aware Hard-Threshold Gradient Compression in Federated Learning Rongwei Lu Yutong Jiang Jinrui Zhang Chunyang Li Yifei Zhu Bin Chen Zhi Wang FedML 75 0 0 18 May 2025
FedHQ: Hybrid Runtime Quantization for Federated Learning Zihao Zheng Ziyao Wang Xiuping Cui Maoliang Li Jiayu Chen Liang Ang Li Xiang Chen FedML MQ 83 0 0 17 May 2025
MINGLE: Mixtures of Null-Space Gated Low-Rank Experts for Test-Time Continual Model Merging Zihuan Qiu Yi Xu Chiyuan He Fanman Meng Linfeng Xu Qi Wu Hongliang Li CLL MoMe 93 0 0 17 May 2025
Incentivize Contribution and Learn Parameters Too: Federated Learning with Strategic Data Owners Drashthi Doshi Aditya Vema Reddy Kesari Swaprava Nath Avishek Ghosh Suhas S Kowshik FedML Presented at ResearchTrend Connect \| FedML on 18 Jun 2025 138 0 0 17 May 2025
Nosy Layers, Noisy Fixes: Tackling DRAs in Federated Learning Systems using Explainable AI Meghali Nandi Arash Shaghaghi Nazatul Haque Sultan Gustavo Batista Raymond K. Zhao Sanjay Jha AAML 184 0 0 16 May 2025
Deep Latent Variable Model based Vertical Federated Learning with Flexible Alignment and Labeling Scenarios Kihun Hong Sejun Park Ganguk Hwang FedML 112 0 0 16 May 2025
FedDuA: Doubly Adaptive Federated Learning Shokichi Takakura Seng Pei Liew Satoshi Hasegawa FedML 90 0 0 16 May 2025
Federated Low-Rank Adaptation for Foundation Models: A Survey Yiyuan Yang Guodong Long Qinghua Lu Liming Zhu Jing Jiang Chengqi Zhang AI4CE 80 0 0 16 May 2025
Joint Graph Estimation and Signal Restoration for Robust Federated Learning Tsutahiro Fukuhara Junya Hara Hiroshi Higashi Yuichi Tanaka FedML 90 0 0 16 May 2025
Tool-Aided Evolutionary LLM for Generative Policy Toward Efficient Resource Management in Wireless Federated Learning Chongyang Tan Ruoqi Wen Rongpeng Li Zhifeng Zhao Ekram Hossain Honggang Zhang 119 0 0 16 May 2025
Quantum-Evolutionary Neural Networks for Multi-Agent Federated Learning Aarav Lala Kalyan Cherukuri 54 0 0 16 May 2025
Topology-Aware Knowledge Propagation in Decentralized Learning Mansi Sakarvadia Nathaniel Hudson Tian Li Ian Foster Kyle Chard 67 0 0 16 May 2025
Cutting Through Privacy: A Hyperplane-Based Data Reconstruction Attack in Federated Learning Francesco Diana André Nusser Chuan Xu Giovanni Neglia 76 0 0 15 May 2025
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning Zengxia Guo Bohui An Zhongqi Lu FedML 81 0 0 15 May 2025
Multi-Source Collaborative Style Augmentation and Domain-Invariant Learning for Federated Domain Generalization Yikang Wei 70 0 0 15 May 2025
A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network Muzun Althunayyan Amir Javed Omer Rana AAML 59 0 0 15 May 2025
Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning Wujun Zhou Shu Ding Hao Sun Wei Wang FedML 124 0 0 15 May 2025
Sybil-based Virtual Data Poisoning Attacks in Federated Learning Changxun Zhu Qilong Wu Lingjuan Lyu Shibei Xue AAML FedML 128 0 0 15 May 2025
Defending the Edge: Representative-Attention for Mitigating Backdoor Attacks in Federated Learning Chibueze Peace Obioma Youcheng Sun Mustafa A. Mustafa AAML 89 0 0 15 May 2025
Chisme: Fully Decentralized Differentiated Deep Learning for Edge Intelligence Harikrishna Kuttivelil Katia Obraczka FedML 63 0 0 14 May 2025
Toward Malicious Clients Detection in Federated Learning Zhihao Dou Jiaqi Wang Wei Sun Zhuqing Liu Minghong Fang AAML 80 0 0 14 May 2025
Argus: Federated Non-convex Bilevel Learning over 6G Space-Air-Ground Integrated Network Ya Liu Kai Yang Yu Zhu Keying Yang Haibo Zhao 70 0 0 14 May 2025
Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features Shunsuke Yoneda Valdemar Švábenský Gen Li Daisuke Deguchi Atsushi Shimada 61 0 0 14 May 2025
Robust Federated Learning with Confidence-Weighted Filtering and GAN-Based Completion under Noisy and Incomplete Data Alpaslan Gokcen Ali Boyaci FedML 83 0 0 14 May 2025
FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization Xiaoyang Yu Xiaoming Wu Xin Wang Dongrun Li Ming Yang Peng Cheng 69 0 0 14 May 2025
FedRS-Bench: Realistic Federated Learning Datasets and Benchmarks in Remote Sensing Haodong Zhao Peng Peng Chiyu Chen Linqing Huang Gongshen Liu FedML 97 0 0 13 May 2025
Multi-Layer Hierarchical Federated Learning with Quantization Seyed Mohammad Azimi-Abarghouyi Carlo Fischione FedML 87 0 0 13 May 2025
Privacy-Preserving Analytics for Smart Meter (AMI) Data: A Hybrid Approach to Comply with CPUC Privacy Regulations Benjamin Westrich 40 0 0 13 May 2025
Trial and Trust: Addressing Byzantine Attacks with Comprehensive Defense Strategy Gleb Molodtsov Daniil Medyakov Sergey Skorik Nikolas Khachaturov Shahane Tigranyan Vladimir Aletov A. Avetisyan Martin Takáč Aleksandr Beznosikov AAML 123 0 0 12 May 2025
Securing Genomic Data Against Inference Attacks in Federated Learning Environments Chetan Pathade Shubham Patil 68 1 0 12 May 2025
Personalized Federated Learning under Model Dissimilarity Constraints Samuel Erickson Mikael Johansson FedML 302 0 0 12 May 2025
A Federated Random Forest Solution for Secure Distributed Machine Learning Alexandre Cotorobai Jorge Miguel Silva Jose Luis Oliveira OOD FedML 149 0 0 12 May 2025
Adaptive Latent-Space Constraints in Personalized FL Sana Ayromlou D. B. Emerson FedML 80 0 0 12 May 2025
Sharp Gaussian approximations for Decentralized Federated Learning Soham Bonnerjee Sayar Karmakar Wei Biao Wu FedML 85 0 0 12 May 2025
FedIFL: A federated cross-domain diagnostic framework for motor-driven systems with inconsistent fault modes Zexiao Wang Yankai Wang Xiaoqiang Liao Xinguo Ming Weiming Shen 62 0 0 12 May 2025