ResearchTrend.AI
  • Papers
  • Communities
  • Organizations
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1602.05629
  4. Cited By
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
v1v2v3v4 (latest)

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
ArXiv (abs)PDFHTML

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

50 / 5,662 papers shown
Title
Selective Attention Federated Learning: Improving Privacy and Efficiency for Clinical Text Classification
Selective Attention Federated Learning: Improving Privacy and Efficiency for Clinical Text Classification
Yue Li
L. Zhang
76
0
0
16 Apr 2025
Collaborative Bayesian Optimization via Wasserstein Barycenters
Collaborative Bayesian Optimization via Wasserstein Barycenters
Donglin Zhan
Huatian Zhang
Rhonda Righter
Zeyu Zheng
James Anderson
75
0
0
15 Apr 2025
Diversity-Driven Learning: Tackling Spurious Correlations and Data Heterogeneity in Federated Models
Diversity-Driven Learning: Tackling Spurious Correlations and Data Heterogeneity in Federated Models
Gergely Németh
Eros Fani
Yeat Jeng Ng
Barbara Caputo
M. Lozano
Nuria Oliver
Novi Quadrianto
FedML
77
0
0
15 Apr 2025
Achieving Tighter Finite-Time Rates for Heterogeneous Federated Stochastic Approximation under Markovian Sampling
Achieving Tighter Finite-Time Rates for Heterogeneous Federated Stochastic Approximation under Markovian Sampling
Feng Zhu
Aritra Mitra
Robert W. Heath
FedML
105
0
0
15 Apr 2025
FHBench: Towards Efficient and Personalized Federated Learning for Multimodal Healthcare
FHBench: Towards Efficient and Personalized Federated Learning for Multimodal Healthcare
Penghao Wang
Qian Chen
Teng Zhang
Yu Zhang
Wang Lu
Yiqiang Chen
94
0
0
15 Apr 2025
Towards Unbiased Federated Graph Learning: Label and Topology Perspectives
Towards Unbiased Federated Graph Learning: Label and Topology Perspectives
Zhengyu Wu
Boyang Pang
Miao Hu
Yinlin Zhu
Daohan Su
Bowen Fan
Rong-Hua Li
Guoren Wang
Chenghu Zhou
FedML
77
0
0
14 Apr 2025
Lightweight Trustworthy Distributed Clustering
Lightweight Trustworthy Distributed Clustering
Hongyang Li
Caesar Wu
Mohammed Chadli
Said Mammar
Pascal Bouvry
95
0
0
14 Apr 2025
Satellite Federated Fine-Tuning for Foundation Models in Space Computing Power Networks
Satellite Federated Fine-Tuning for Foundation Models in Space Computing Power Networks
Yan zhu
Jingyang Zhu
Ting Wang
Yuanming Shi
Chunxiao Jiang
Khaled B. Letaief
105
0
0
14 Apr 2025
Multi-task Federated Learning with Encoder-Decoder Structure: Enabling Collaborative Learning Across Different Tasks
Multi-task Federated Learning with Encoder-Decoder Structure: Enabling Collaborative Learning Across Different Tasks
Jingxuan Zhou
Weidong Bao
Ji Wang
Dayu Zhang
Xiongtao Zhang
Yaohong Zhang
FedML
105
1
0
14 Apr 2025
Accelerating Differentially Private Federated Learning via Adaptive Extrapolation
Accelerating Differentially Private Federated Learning via Adaptive Extrapolation
Shokichi Takakura
Seng Pei Liew
Satoshi Hasegawa
FedML
112
0
0
14 Apr 2025
A Tale of Two Learning Algorithms: Multiple Stream Random Walk and Asynchronous Gossip
A Tale of Two Learning Algorithms: Multiple Stream Random Walk and Asynchronous Gossip
Peyman Gholami
H. Seferoglu
58
0
0
14 Apr 2025
Federated Learning with Layer Skipping: Efficient Training of Large Language Models for Healthcare NLP
Federated Learning with Layer Skipping: Efficient Training of Large Language Models for Healthcare NLP
L. Zhang
Yue Li
AI4CE
72
2
0
13 Apr 2025
Federated Prototype Graph Learning
Federated Prototype Graph Learning
Zhengyu Wu
Miao Hu
Yinlin Zhu
Rong-Hua Li
Guoren Wang
Chenghu Zhou
FedML
129
0
0
13 Apr 2025
FSSUAVL: A Discriminative Framework using Vision Models for Federated Self-Supervised Audio and Image Understanding
FSSUAVL: A Discriminative Framework using Vision Models for Federated Self-Supervised Audio and Image Understanding
Yasar Abbas Ur Rehman
Kin Wai Lau
Yuyang Xie
Ma Lan
Jiajun Shen
155
0
0
13 Apr 2025
Query-based Knowledge Transfer for Heterogeneous Learning Environments
Query-based Knowledge Transfer for Heterogeneous Learning Environments
Norah Alballa
Wenxuan Zhang
Ziquan Liu
A. Abdelmoniem
Mohamed Elhoseiny
Marco Canini
198
0
0
12 Apr 2025
Explainability and Continual Learning meet Federated Learning at the Network Edge
Explainability and Continual Learning meet Federated Learning at the Network Edge
Thomas Tsouparopoulos
Iordanis Koutsopoulos
FedML
82
0
0
11 Apr 2025
Personalizing Federated Learning for Hierarchical Edge Networks with Non-IID Data
Personalizing Federated Learning for Hierarchical Edge Networks with Non-IID Data
Seunghyun Lee
Omid Tavallaie
Shuaijun Chen
Kanchana Thilakarathna
Suranga Seneviratne
A. N. Toosi
Albert Y. Zomaya
129
0
0
11 Apr 2025
The More is not the Merrier: Investigating the Effect of Client Size on Federated Learning
The More is not the Merrier: Investigating the Effect of Client Size on Federated Learning
Eleanor Wallach
Sage Siler
Jing Deng
FedML
60
0
0
11 Apr 2025
An Adaptive Clustering Scheme for Client Selections in Communication-Efficient Federated Learning
An Adaptive Clustering Scheme for Client Selections in Communication-Efficient Federated Learning
Yan-Ann Chen
Guan-Lin Chen
FedML
129
0
0
11 Apr 2025
Boosting multi-demographic federated learning for chest radiograph analysis using general-purpose self-supervised representations
Boosting multi-demographic federated learning for chest radiograph analysis using general-purpose self-supervised representations
Mahshad Lotfinia
Arash Tayebiarasteh
Samaneh Samiei
Mehdi Joodaki
Soroosh Tayebi Arasteh
88
0
0
11 Apr 2025
FedMerge: Federated Personalization via Model Merging
FedMerge: Federated Personalization via Model Merging
Shutong Chen
Tianyi Zhou
Guodong Long
Jing Jiang
Chengqi Zhang
FedMLMoMe
146
0
0
09 Apr 2025
FedFeat+: A Robust Federated Learning Framework Through Federated Aggregation and Differentially Private Feature-Based Classifier Retraining
FedFeat+: A Robust Federated Learning Framework Through Federated Aggregation and Differentially Private Feature-Based Classifier Retraining
Mrityunjoy Gain
Kitae Kim
Avi Deb Raha
Apurba Adhikary
Eui-nam Huh
Zhu Han
Choong Seon Hong
FedML
118
0
0
08 Apr 2025
Federated Unlearning Made Practical: Seamless Integration via Negated Pseudo-Gradients
Federated Unlearning Made Practical: Seamless Integration via Negated Pseudo-Gradients
Alessio Mora
Carlo Mazzocca
R. Montanari
Paolo Bellavista
MU
93
0
0
08 Apr 2025
FedEFC: Federated Learning Using Enhanced Forward Correction Against Noisy Labels
FedEFC: Federated Learning Using Enhanced Forward Correction Against Noisy Labels
Seunghun Yu
Jin-Hyun Ahn
Joonhyuk Kang
FedML
95
0
0
08 Apr 2025
Decentralized Federated Domain Generalization with Style Sharing: A Formal Modeling and Convergence Analysis
Decentralized Federated Domain Generalization with Style Sharing: A Formal Modeling and Convergence Analysis
Shahryar Zehtabi
Dong-Jun Han
Seyyedali Hosseinalipour
Christopher G. Brinton
FedMLAI4CE
136
0
0
08 Apr 2025
Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning
Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning
Haoran Zhang
Zejun Gong
Zekai Li
Marie Siew
Carlee Joe-Wong
Rachid El-Azouzi
146
0
0
07 Apr 2025
FedSAUC: A Similarity-Aware Update Control for Communication-Efficient Federated Learning in Edge Computing
FedSAUC: A Similarity-Aware Update Control for Communication-Efficient Federated Learning in Edge Computing
Ming-Lun Lee
Han-Chang Chou
Yan-AnnChen
FedML
97
6
0
07 Apr 2025
Federated Hierarchical Reinforcement Learning for Adaptive Traffic Signal Control
Federated Hierarchical Reinforcement Learning for Adaptive Traffic Signal Control
Yongjie Fu
Lingyun Zhong
Zifan Li
Xuan Di
69
1
0
07 Apr 2025
Feedback-Enhanced Hallucination-Resistant Vision-Language Model for Real-Time Scene Understanding
Feedback-Enhanced Hallucination-Resistant Vision-Language Model for Real-Time Scene Understanding
Zahir Alsulaimawi
47
0
0
07 Apr 2025
Federated Learning for Medical Image Classification: A Comprehensive Benchmark
Federated Learning for Medical Image Classification: A Comprehensive Benchmark
Zhekai Zhou
Guibo Luo
Mingzhi Chen
Zhenyu Weng
Yuesheng Zhu
FedML
62
1
0
07 Apr 2025
SparsyFed: Sparse Adaptive Federated Training
SparsyFed: Sparse Adaptive Federated Training
Adriano Guastella
Lorenzo Sani
Alex Iacob
Alessio Mora
Paolo Bellavista
Nicholas D. Lane
FedML
182
0
0
07 Apr 2025
WeiDetect: Weibull Distribution-Based Defense against Poisoning Attacks in Federated Learning for Network Intrusion Detection Systems
WeiDetect: Weibull Distribution-Based Defense against Poisoning Attacks in Federated Learning for Network Intrusion Detection Systems
S. Mandelli
Vinod Puthuvath
Anderson Rocha
Rafidha Rehiman K. A.
Mauro Conti
AAML
85
0
0
06 Apr 2025
A Novel Algorithm for Personalized Federated Learning: Knowledge Distillation with Weighted Combination Loss
A Novel Algorithm for Personalized Federated Learning: Knowledge Distillation with Weighted Combination Loss
Hengrui Hu
Anai N. Kothari
Anjishnu Banerjee
FedML
99
1
0
06 Apr 2025
Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible
Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible
Chaoyi Lu
Yiding Sun
Pengbo Li
Zhichuan Yang
FedML
123
1
0
05 Apr 2025
Scaling Federated Learning Solutions with Kubernetes for Synthesizing Histopathology Images
Scaling Federated Learning Solutions with Kubernetes for Synthesizing Histopathology Images
Andrei Preda
Iulian-Marius Taiatu
Dumitru-Clementin Cercel
FedMLMedIm
67
0
0
05 Apr 2025
Structured Knowledge Accumulation: The Principle of Entropic Least Action in Forward-Only Neural Learning
Structured Knowledge Accumulation: The Principle of Entropic Least Action in Forward-Only Neural Learning
Bouarfa Mahi Quantiota
89
0
0
04 Apr 2025
Operator Learning: A Statistical Perspective
Operator Learning: A Statistical Perspective
Unique Subedi
Ambuj Tewari
74
0
0
04 Apr 2025
Tree-based Models for Vertical Federated Learning: A Survey
Tree-based Models for Vertical Federated Learning: A Survey
Bingchen Qian
Yuexiang Xie
Yaliang Li
Bolin Ding
Jingren Zhou
FedML
128
0
0
03 Apr 2025
How I Warped Your Noise: a Temporally-Correlated Noise Prior for Diffusion Models
How I Warped Your Noise: a Temporally-Correlated Noise Prior for Diffusion Models
Pascal Chang
Jingwei Tang
Markus Gross
Vinicius Azevedo
DiffM
100
0
0
03 Apr 2025
Secure Generalization through Stochastic Bidirectional Parameter Updates Using Dual-Gradient Mechanism
Secure Generalization through Stochastic Bidirectional Parameter Updates Using Dual-Gradient Mechanism
Shourya Goel
Himanshi Tibrewal
Anant Jain
Anshul Pundhir
Pravendra Singh
FedML
118
0
0
03 Apr 2025
Improving Efficiency in Federated Learning with Optimized Homomorphic Encryption
Improving Efficiency in Federated Learning with Optimized Homomorphic Encryption
Feiran Yang
FedML
113
0
0
03 Apr 2025
Client Selection in Federated Learning with Data Heterogeneity and Network Latencies
Client Selection in Federated Learning with Data Heterogeneity and Network Latencies
Harsh Vardhan
Xiaofan Yu
Tajana Rosing
A. Mazumdar
FedML
74
0
0
02 Apr 2025
A Randomized Zeroth-Order Hierarchical Framework for Heterogeneous Federated Learning
A Randomized Zeroth-Order Hierarchical Framework for Heterogeneous Federated Learning
Yuyang Qiu
Kibaek Kim
Farzad Yousefian
FedML
138
0
0
02 Apr 2025
Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds
Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds
Michael-Andrei Panaitescu-Liess
Yigitcan Kaya
Sicheng Zhu
Furong Huang
Tudor Dumitras
AAML
126
0
0
02 Apr 2025
A Two-Timescale Approach for Wireless Federated Learning with Parameter Freezing and Power Control
A Two-Timescale Approach for Wireless Federated Learning with Parameter Freezing and Power Control
Jinhao Ouyang
Yuan Liu
Hang Liu
69
0
0
02 Apr 2025
CoRAG: Collaborative Retrieval-Augmented Generation
CoRAG: Collaborative Retrieval-Augmented Generation
Aashiq Muhamed
Mona Diab
Virginia Smith
80
0
0
02 Apr 2025
Approximate Agreement Algorithms for Byzantine Collaborative Learning
Approximate Agreement Algorithms for Byzantine Collaborative Learning
Tijana Milentijević
Mélanie Cambus
Darya Melnyk
Stefan Schmid
FedML
148
1
0
02 Apr 2025
CO-DEFEND: Continuous Decentralized Federated Learning for Secure DoH-Based Threat Detection
CO-DEFEND: Continuous Decentralized Federated Learning for Secure DoH-Based Threat Detection
Diego Cajaraville-Aboy
Marta Moure-Garrido
Carlos Beis-Penedo
C. García-Rubio
R. Redondo
Celeste Campo
Ana Fernández-Vilas
M. Fernández-Veiga
66
0
0
02 Apr 2025
On Model Protection in Federated Learning against Eavesdropping Attacks
On Model Protection in Federated Learning against Eavesdropping Attacks
Dipankar Maity
Kushal Chakrabarti
FedML
100
0
0
02 Apr 2025
Global Intervention and Distillation for Federated Out-of-Distribution Generalization
Global Intervention and Distillation for Federated Out-of-Distribution Generalization
Zhuang Qi
Runhui Zhang
Lei Meng
Wei Wu
Yachong Zhang
Xiangxu Meng
FedML
137
1
0
01 Apr 2025
Previous
123...678...112113114
Next