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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
Unlearning Clients, Features and Samples in Vertical Federated Learning
Unlearning Clients, Features and Samples in Vertical Federated Learning
Ayush K. Varshney
Konstantinos Vandikas
V. Torra
MU
92
1
0
23 Jan 2025
MultiDreamer3D: Multi-concept 3D Customization with Concept-Aware Diffusion Guidance
MultiDreamer3D: Multi-concept 3D Customization with Concept-Aware Diffusion Guidance
Wooseok Song
Seunggyu Chang
Jaejun Yoo
DiffM
120
0
0
23 Jan 2025
PBM-VFL: Vertical Federated Learning with Feature and Sample Privacy
PBM-VFL: Vertical Federated Learning with Feature and Sample Privacy
Linh Tran
Timothy Castiglia
Stacy Patterson
Ana Milanova
FedML
113
0
0
23 Jan 2025
Bad-PFL: Exploring Backdoor Attacks against Personalized Federated Learning
Bad-PFL: Exploring Backdoor Attacks against Personalized Federated Learning
Mingyuan Fan
Zhanyi Hu
Fuyi Wang
Cen Chen
SILM
123
0
0
22 Jan 2025
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling
Emir Ceyani
Han Xie
Baturalp Buyukates
Carl Yang
Salman Avestimehr
FedML
308
0
0
22 Jan 2025
A Selective Homomorphic Encryption Approach for Faster Privacy-Preserving Federated Learning
A Selective Homomorphic Encryption Approach for Faster Privacy-Preserving Federated Learning
Abdulkadir Korkmaz
Praveen Rao
FedML
163
1
0
22 Jan 2025
CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning
CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning
Nurbek Tastan
Samuel Horváth
Karthik Nandakumar
FedML
123
0
0
21 Jan 2025
MyDigiTwin: A Privacy-Preserving Framework for Personalized Cardiovascular Risk Prediction and Scenario Exploration
MyDigiTwin: A Privacy-Preserving Framework for Personalized Cardiovascular Risk Prediction and Scenario Exploration
Héctor Cadavid
Hyunho Mo
Bauke Arends
Katarzyna Dziopa
Esther E. Bron
D. Bos
Sonja Georgievska
P. Harst
68
0
0
21 Jan 2025
FedCLEAN: byzantine defense by CLustering Errors of Activation maps in Non-IID federated learning environments
FedCLEAN: byzantine defense by CLustering Errors of Activation maps in Non-IID federated learning environments
Mehdi Ben Ghali
Reda Bellafqira
Gouenou Coatrieux
AAMLFedML
95
0
0
21 Jan 2025
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy
Khaoula Chehbouni
Martine De Cock
Gilles Caporossi
Afaf Taik
Reihaneh Rabbany
G. Farnadi
172
1
0
21 Jan 2025
The Transition from Centralized Machine Learning to Federated Learning for Mental Health in Education: A Survey of Current Methods and Future Directions
The Transition from Centralized Machine Learning to Federated Learning for Mental Health in Education: A Survey of Current Methods and Future Directions
Maryam Ebrahimi
Rajeev Sahay
Seyyedali Hosseinalipour
Bita Akram
140
1
0
20 Jan 2025
BlindFL: Segmented Federated Learning with Fully Homomorphic Encryption
BlindFL: Segmented Federated Learning with Fully Homomorphic Encryption
Evan Gronberg
L. dÁliberti
Magnus Saebo
Aurora Hook
FedML
90
0
0
20 Jan 2025
A performance analysis of VM-based Trusted Execution Environments for Confidential Federated Learning
A performance analysis of VM-based Trusted Execution Environments for Confidential Federated Learning
Bruno Casella
FedML
89
0
0
20 Jan 2025
UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Cross-Hospital Collaboration
UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Cross-Hospital Collaboration
Chung-ju Huang
Yuanpeng He
Xiao Han
Wenpin Jiao
Zhi Jin
Leye Wang
FedML
137
3
0
20 Jan 2025
Federated Learning with Sample-level Client Drift Mitigation
Federated Learning with Sample-level Client Drift Mitigation
Haoran Xu
Jiaze Li
Wanyi Wu
Hao Ren
FedML
116
2
0
20 Jan 2025
Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks
Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks
Shuai Wang
Yanqing Xu
Chaoqun You
Mingjie Shao
Tony Q.S. Quek
49
0
0
20 Jan 2025
Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation
Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation
Dongjie Wang
Yanyong Huang
Wangyang Ying
Haoyue Bai
Nanxu Gong
...
Meng Xiao
Pengfei Wang
P. Wang
Hui Xiong
Yanjie Fu
LMTD
100
10
0
17 Jan 2025
Federated Deep Subspace Clustering
Federated Deep Subspace Clustering
Yupei Zhang
Ruojia Feng
Yifei Wang
Xuequn Shang
FedML
179
0
0
17 Jan 2025
PeFLL: Personalized Federated Learning by Learning to Learn
PeFLL: Personalized Federated Learning by Learning to Learn
Jonathan Scott
Hossein Zakerinia
Christoph H. Lampert
FedML
267
12
0
17 Jan 2025
Data and System Perspectives of Sustainable Artificial Intelligence
Data and System Perspectives of Sustainable Artificial Intelligence
Tao Xie
D. Harel
Dezhi Ran
Zhenwen Li
Maoliang Li
...
Wentao Zhang
Meng Li
Chenyi Zhang
Linyi Li
Assaf Marron
75
1
0
13 Jan 2025
ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs
ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs
Yongming Fan
Rui Zhu
Zihao Wang
Chenghong Wang
Haixu Tang
Ye Dong
Hyunghoon Cho
Lucila Ohno-Machado
78
0
0
12 Jan 2025
KeTS: Kernel-based Trust Segmentation against Model Poisoning Attacks
KeTS: Kernel-based Trust Segmentation against Model Poisoning Attacks
Ankit Gangwal
Mauro Conti
Tommaso Pauselli
AAML
105
0
0
12 Jan 2025
TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning
TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning
Runhua Xu
Bo Li
Chao Li
J. Joshi
Shuai Ma
Jianxin Li
FedML
132
10
0
10 Jan 2025
Private Selection with Heterogeneous Sensitivities
Private Selection with Heterogeneous Sensitivities
Daniela Antonova
Allegra Laro
Audra McMillan
Lorenz Wolf
170
0
0
10 Jan 2025
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning
Yanbing Zhou
Xiangmou Qu
Chenlong You
Jiyang Zhou
Jingyue Tang
Xin Zheng
Chunmao Cai
Yingbo Wu
FedML
132
3
0
09 Jan 2025
Resilient Peer-to-peer Learning based on Adaptive Aggregation
Resilient Peer-to-peer Learning based on Adaptive Aggregation
Chandreyee Bhowmick
Xenofon Koutsoukos
80
0
0
08 Jan 2025
Federated-Continual Dynamic Segmentation of Histopathology guided by Barlow Continuity
Federated-Continual Dynamic Segmentation of Histopathology guided by Barlow Continuity
Niklas Babendererde
Haozhe Zhu
Moritz Fuchs
J. Stieber
Anirban Mukhopadhyay
FedMLOOD
140
0
0
08 Jan 2025
Ethical Concerns of Generative AI and Mitigation Strategies: A Systematic Mapping Study
Ethical Concerns of Generative AI and Mitigation Strategies: A Systematic Mapping Study
Yutan Huang
Chetan Arora
Wen Cheng Houng
Tanjila Kanij
Anuradha Madulgalla
John C. Grundy
235
1
0
08 Jan 2025
Over-the-Air Fair Federated Learning via Multi-Objective Optimization
Over-the-Air Fair Federated Learning via Multi-Objective Optimization
Shayan Mohajer Hamidi
Ali Bereyhi
S. Asaad
H. Vincent Poor
49
2
0
08 Jan 2025
Revisiting LocalSGD and SCAFFOLD: Improved Rates and Missing Analysis
Revisiting LocalSGD and SCAFFOLD: Improved Rates and Missing Analysis
Ruichen Luo
Sebastian U Stich
Samuel Horváth
Martin Takáč
148
0
0
08 Jan 2025
Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation
Xiaoxiao He
Haizhou Shi
Ligong Han
Chaowei Tan
Bo Liu
Zihao Xu
Meng Ye
L. Axel
Kang Li
Dimitris N. Metaxas
FedML
98
0
0
06 Jan 2025
Characterizing the Accuracy-Communication-Privacy Trade-off in Distributed Stochastic Convex Optimization
Sudeep Salgia
Nikola Pavlovic
Yuejie Chi
Qing Zhao
127
0
0
06 Jan 2025
Proof-of-Data: A Consensus Protocol for Collaborative Intelligence
Proof-of-Data: A Consensus Protocol for Collaborative Intelligence
Huiwen Liu
Feida Zhu
Ling Cheng
152
0
0
06 Jan 2025
AFed: Algorithmic Fair Federated Learning
Huiqiang Chen
Tianqing Zhu
Wanlei Zhou
Wei Zhao
FedML
82
1
0
06 Jan 2025
FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models
Hui Lin
Chao Zhang
Danfeng Hong
Kexin Dong
Congcong Wen
FedMLVLM
113
4
0
05 Jan 2025
Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning
Zhongwei Wang
Tong Wu
Zhiyong Chen
Liang Qian
Yin Xu
Meixia Tao
FedML
115
0
0
04 Jan 2025
Uncertainty-Aware Label Refinement on Hypergraphs for Personalized Federated Facial Expression Recognition
Uncertainty-Aware Label Refinement on Hypergraphs for Personalized Federated Facial Expression Recognition
Hu Ding
Yan Yan
Yang Lu
Jing-Hao Xue
Hanzi Wang
192
0
0
03 Jan 2025
Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration
Zhiyuan Wu
Sheng Sun
Yuwei Wang
Min Liu
Ke Xu
Quyang Pan
Bo Gao
Tian Wen
FedML
101
1
0
03 Jan 2025
Delayed Random Partial Gradient Averaging for Federated Learning
Delayed Random Partial Gradient Averaging for Federated Learning
Xinyi Hu
FedML
113
0
0
31 Dec 2024
FedSat: A Statistical Aggregation Approach for Class Imbalanced Clients in Federated Learning
FedSat: A Statistical Aggregation Approach for Class Imbalanced Clients in Federated Learning
S. Chowdhury
Raju Halder
FedML
92
0
0
31 Dec 2024
Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-Supervised Learning
Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-Supervised Learning
Sijia Chen
Ningxin Su
Baochun Li
FedML
122
1
0
31 Dec 2024
A Unified Analysis of Federated Learning with Arbitrary Client Participation
A Unified Analysis of Federated Learning with Arbitrary Client Participation
Shiqiang Wang
Mingyue Ji
FedML
166
59
0
31 Dec 2024
Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation
Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation
Muhammad Irfan Khan
Elina Kontio
Suleiman A. Khan
Mojtaba Jafaritadi
FedML
80
0
0
31 Dec 2024
Disentangling data distribution for Federated Learning
Disentangling data distribution for Federated Learning
Xinyuan Zhao
Hanlin Gu
Lixin Fan
Qiang Yang
Yuxing Han
OODFedML
134
0
0
31 Dec 2024
DV-FSR: A Dual-View Target Attack Framework for Federated Sequential Recommendation
DV-FSR: A Dual-View Target Attack Framework for Federated Sequential Recommendation
Qitao Qin
Yucong Luo
Mingyue Cheng
Qingyang Mao
Chenyi Lei
FedML
123
0
0
31 Dec 2024
Recommender Engine Driven Client Selection in Federated Brain Tumor Segmentation
Recommender Engine Driven Client Selection in Federated Brain Tumor Segmentation
Muhammad Irfan Khan
Elina Kontio
Suleiman A. Khan
Mojtaba Jafaritadi
FedML
82
0
0
31 Dec 2024
Asymmetrical Reciprocity-based Federated Learning for Resolving
  Disparities in Medical Diagnosis
Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis
Jiaqi Wang
Ziyi Yin
Quanzeng You
Lingjuan Lyu
Fenglong Ma
FedML
130
0
0
27 Dec 2024
Central limit theorems for vector-valued composite functionals with
  smoothing and applications
Central limit theorems for vector-valued composite functionals with smoothing and applications
Huhui Chen
Darinka Dentcheva
Yang Lin
Gregory J. Stock
119
3
0
26 Dec 2024
Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series
  Analysis with Temporal Attention Mechanism and Counterfactual Explanations
Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations
Pegah Ahadian
Wei Xu
Sherry Wang
Qiang Guan
AI4TS
50
0
0
25 Dec 2024
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
Junying Chen
Zhenyang Cai
Ke Ji
Xiang Wang
Wanlong Liu
Rongsheng Wang
Jianye Hou
Benyou Wang
LRM
91
61
0
25 Dec 2024
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