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Communication-Efficient Learning of Deep Networks from Decentralized
  Data

Communication-Efficient Learning of Deep Networks from Decentralized Data

17 February 2016
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
    FedML
ArXivPDFHTML

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

50 / 2,477 papers shown
Title
Second-Order Convergence in Private Stochastic Non-Convex Optimization
Second-Order Convergence in Private Stochastic Non-Convex Optimization
Youming Tao
Zuyuan Zhang
Dongxiao Yu
Xiuzhen Cheng
Falko Dressler
Di Wang
7
0
0
21 May 2025
FedCTTA: A Collaborative Approach to Continual Test-Time Adaptation in Federated Learning
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
13
0
0
19 May 2025
Optimal Client Sampling in Federated Learning with Client-Level Heterogeneous Differential Privacy
Optimal Client Sampling in Federated Learning with Client-Level Heterogeneous Differential Privacy
Jiahao Xu
Rui Hu
Olivera Kotevska
FedML
21
0
0
19 May 2025
FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA
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
12
0
0
19 May 2025
Unlearning for Federated Online Learning to Rank: A Reproducibility Study
Unlearning for Federated Online Learning to Rank: A Reproducibility Study
Yiling Tao
Shuyi Wang
Jiaxi Yang
Guido Zuccon
MU
9
0
0
19 May 2025
$γ$-FedHT: Stepsize-Aware Hard-Threshold Gradient Compression in Federated Learning
γγγ-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
16
0
0
18 May 2025
Deep Latent Variable Model based Vertical Federated Learning with Flexible Alignment and Labeling Scenarios
Deep Latent Variable Model based Vertical Federated Learning with Flexible Alignment and Labeling Scenarios
Kihun Hong
Sejun Park
Ganguk Hwang
FedML
36
0
0
16 May 2025
Nosy Layers, Noisy Fixes: Tackling DRAs in Federated Learning Systems using Explainable AI
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
12
0
0
16 May 2025
FedDuA: Doubly Adaptive Federated Learning
FedDuA: Doubly Adaptive Federated Learning
Shokichi Takakura
Seng Pei Liew
Satoshi Hasegawa
FedML
24
0
0
16 May 2025
Joint Graph Estimation and Signal Restoration for Robust Federated Learning
Joint Graph Estimation and Signal Restoration for Robust Federated Learning
Tsutahiro Fukuhara
Junya Hara
Hiroshi Higashi
Yuichi Tanaka
FedML
4
0
0
16 May 2025
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning
Zengxia Guo
Bohui An
Zhongqi Lu
FedML
26
0
0
15 May 2025
Cutting Through Privacy: A Hyperplane-Based Data Reconstruction Attack in Federated Learning
Cutting Through Privacy: A Hyperplane-Based Data Reconstruction Attack in Federated Learning
Francesco Diana
André Nusser
Chuan Xu
Giovanni Neglia
27
0
0
15 May 2025
Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning
Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning
Wujun Zhou
Shu Ding
ZeLin Li
Wei Wang
FedML
29
0
0
15 May 2025
Defending the Edge: Representative-Attention for Mitigating Backdoor Attacks in Federated Learning
Defending the Edge: Representative-Attention for Mitigating Backdoor Attacks in Federated Learning
Chibueze Peace Obioma
Youcheng Sun
Mustafa A. Mustafa
AAML
29
0
0
15 May 2025
Sybil-based Virtual Data Poisoning Attacks in Federated Learning
Sybil-based Virtual Data Poisoning Attacks in Federated Learning
Changxun Zhu
Qilong Wu
Lingjuan Lyu
Shibei Xue
AAML
FedML
28
0
0
15 May 2025
Argus: Federated Non-convex Bilevel Learning over 6G Space-Air-Ground Integrated Network
Argus: Federated Non-convex Bilevel Learning over 6G Space-Air-Ground Integrated Network
Ya Liu
Kai Yang
Yu Zhu
Keying Yang
Haibo Zhao
31
0
0
14 May 2025
FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization
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
31
0
0
14 May 2025
Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features
Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features
Shunsuke Yoneda
Valdemar Švábenský
Gen Li
Daisuke Deguchi
Atsushi Shimada
29
0
0
14 May 2025
Toward Malicious Clients Detection in Federated Learning
Toward Malicious Clients Detection in Federated Learning
Zhihao Dou
Jiaqi Wang
Wei Sun
Zhuqing Liu
Minghong Fang
AAML
39
0
0
14 May 2025
Robust Federated Learning with Confidence-Weighted Filtering and GAN-Based Completion under Noisy and Incomplete Data
Robust Federated Learning with Confidence-Weighted Filtering and GAN-Based Completion under Noisy and Incomplete Data
Alpaslan Gokcen
Ali Boyaci
FedML
43
0
0
14 May 2025
Privacy-Preserving Analytics for Smart Meter (AMI) Data: A Hybrid Approach to Comply with CPUC Privacy Regulations
Privacy-Preserving Analytics for Smart Meter (AMI) Data: A Hybrid Approach to Comply with CPUC Privacy Regulations
Benjamin Westrich
22
0
0
13 May 2025
FedRS-Bench: Realistic Federated Learning Datasets and Benchmarks in Remote Sensing
FedRS-Bench: Realistic Federated Learning Datasets and Benchmarks in Remote Sensing
Haodong Zhao
Peng Peng
Chiyu Chen
Linqing Huang
Gongshen Liu
FedML
40
0
0
13 May 2025
Multi-Layer Hierarchical Federated Learning with Quantization
Multi-Layer Hierarchical Federated Learning with Quantization
Seyed Mohammad Azimi-Abarghouyi
Carlo Fischione
FedML
39
0
0
13 May 2025
FedIFL: A federated cross-domain diagnostic framework for motor-driven systems with inconsistent fault modes
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
36
0
0
12 May 2025
Adaptive Latent-Space Constraints in Personalized FL
Adaptive Latent-Space Constraints in Personalized FL
Sana Ayromlou
D. B. Emerson
FedML
54
0
0
12 May 2025
Personalized Federated Learning under Model Dissimilarity Constraints
Personalized Federated Learning under Model Dissimilarity Constraints
Samuel Erickson
Mikael Johansson
FedML
45
0
0
12 May 2025
Securing Genomic Data Against Inference Attacks in Federated Learning Environments
Securing Genomic Data Against Inference Attacks in Federated Learning Environments
Chetan Pathade
Shubham Patil
36
0
0
12 May 2025
Trial and Trust: Addressing Byzantine Attacks with Comprehensive Defense Strategy
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
37
0
0
12 May 2025
Standing Firm in 5G: A Single-Round, Dropout-Resilient Secure Aggregation for Federated Learning
Standing Firm in 5G: A Single-Round, Dropout-Resilient Secure Aggregation for Federated Learning
Yiwei Zhang
R. Behnia
Imtiaz Karim
A. Yavuz
Elisa Bertino
31
0
0
11 May 2025
Source Anonymity for Private Random Walk Decentralized Learning
Source Anonymity for Private Random Walk Decentralized Learning
Maximilian Egger
Svenja Lage
Rawad Bitar
Antonia Wachter-Zeh
36
0
0
11 May 2025
MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning
MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning
L. Yang
W. Zhang
Quan Z. Sheng
Weitong Chen
L. Yao
Weitong Chen
A. Shakeri
26
0
0
11 May 2025
Privacy-aware Berrut Approximated Coded Computing applied to general distributed learning
Privacy-aware Berrut Approximated Coded Computing applied to general distributed learning
Xavier Martínez-Luaña
M. Fernández-Veiga
R. Redondo
Ana Fernández Vilas
FedML
35
0
0
10 May 2025
Dyn-D$^2$P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee
Dyn-D2^22P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee
Zehan Zhu
Yan Huang
Xin Wang
Shouling Ji
Jinming Xu
31
0
0
10 May 2025
Dynamic Domain Information Modulation Algorithm for Multi-domain Sentiment Analysis
Dynamic Domain Information Modulation Algorithm for Multi-domain Sentiment Analysis
Chunyi Yue
Ang Li
34
0
0
10 May 2025
A Contrastive Federated Semi-Supervised Learning Intrusion Detection Framework for Internet of Robotic Things
A Contrastive Federated Semi-Supervised Learning Intrusion Detection Framework for Internet of Robotic Things
Yifan Zeng
29
0
0
10 May 2025
RiM: Record, Improve and Maintain Physical Well-being using Federated Learning
RiM: Record, Improve and Maintain Physical Well-being using Federated Learning
Aditya Mishra
Haroon R. Lone
21
0
0
09 May 2025
Self-Supervised Federated GNSS Spoofing Detection with Opportunistic Data
Self-Supervised Federated GNSS Spoofing Detection with Opportunistic Data
Wenjie Liu
Panos Papadimitratos
44
0
0
09 May 2025
DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information
DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information
Yun Xin
Jianfeng Lu
Shuqin Cao
Gang Li
Haozhao Wang
Guanghui Wen
FedML
37
0
0
09 May 2025
Balancing Client Participation in Federated Learning Using AoI
Balancing Client Participation in Federated Learning Using AoI
Alireza Javani
Zhiying Wang
53
0
0
08 May 2025
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization
Zhuang Qi
Sijin Zhou
Lei Meng
Han Hu
Han Yu
Xiangxu Meng
FedML
CML
214
0
0
08 May 2025
Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning
Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning
Le-Trung Nguyen
Ael Quélennec
Van-Tam Nguyen
Enzo Tartaglione
48
0
0
08 May 2025
Retrieval Augmented Generation Evaluation for Health Documents
Retrieval Augmented Generation Evaluation for Health Documents
Mario Ceresa
Lorenzo Bertolini
Valentin Comte
Nicholas Spadaro
Barbara Raffael
...
Sergio Consoli
Amalia Muñoz Piñeiro
Alex Patak
Maddalena Querci
Tobias Wiesenthal
RALM
3DV
39
0
1
07 May 2025
FRAIN to Train: A Fast-and-Reliable Solution for Decentralized Federated Learning
FRAIN to Train: A Fast-and-Reliable Solution for Decentralized Federated Learning
Sanghyeon Park
Soo-Mook Moon
47
0
0
07 May 2025
Communication-Efficient Federated Fine-Tuning of Language Models via Dynamic Update Schedules
Communication-Efficient Federated Fine-Tuning of Language Models via Dynamic Update Schedules
Michail Theologitis
V. Samoladas
Antonios Deligiannakis
34
0
0
07 May 2025
Small-Scale-Fading-Aware Resource Allocation in Wireless Federated Learning
Small-Scale-Fading-Aware Resource Allocation in Wireless Federated Learning
Jiacheng Wang
Le Liang
Hao Ye
Chongtao Guo
Shi Jin
49
0
0
06 May 2025
HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models
HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models
Zheng Lin
Yuxin Zhang
Zhe Chen
Zihan Fang
Xianhao Chen
Praneeth Vepakomma
Wei Ni
Jun Luo
Yue Gao
MoE
49
2
0
05 May 2025
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data
Ljubomir Rokvic
Panayiotis Danassis
Boi Faltings
FedML
43
0
0
05 May 2025
Bayesian Robust Aggregation for Federated Learning
Bayesian Robust Aggregation for Federated Learning
Aleksandr Karakulev
Usama Zafar
Salman Toor
Prashant Singh
FedML
43
0
0
05 May 2025
Incentivizing Inclusive Contributions in Model Sharing Markets
Incentivizing Inclusive Contributions in Model Sharing Markets
Enpei Zhang
Jingyi Chai
Guangyi Liu
Yanfeng Wang
Siheng Chen
TDI
FedML
215
0
0
05 May 2025
FedSDAF: Leveraging Source Domain Awareness for Enhanced Federated Domain Generalization
FedSDAF: Leveraging Source Domain Awareness for Enhanced Federated Domain Generalization
Houqiang Li
Zesheng Zhou
Zhenbiao Cao
Xiaochen Li
Wei Chen
Xinsong Zhang
FedML
46
0
0
05 May 2025
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