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. 1610.05492
  4. Cited By
Federated Learning: Strategies for Improving Communication Efficiency
v1v2 (latest)

Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016
Jakub Konecný
H. B. McMahan
Felix X. Yu
Peter Richtárik
A. Suresh
Dave Bacon
    FedML
ArXiv (abs)PDFHTML

Papers citing "Federated Learning: Strategies for Improving Communication Efficiency"

50 / 1,868 papers shown
Title
Personalized Federated Learning for Multi-task Fault Diagnosis of
  Rotating Machinery
Personalized Federated Learning for Multi-task Fault Diagnosis of Rotating Machinery
Sheng Guo
Zengxian Li
Hui Liu
Shubao Zhao
C. Jin
FedMLAI4CE
31
6
0
17 Nov 2022
Decentralized Federated Learning: Fundamentals, State of the Art,
  Frameworks, Trends, and Challenges
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
Enrique Tomás Martínez Beltrán
Mario Quiles Pérez
Pedro Miguel Sánchez Sánchez
Sergio López Bernal
Gérome Bovet
M. Pérez
Gregorio Martínez Pérez
Alberto Huertas Celdrán
FedML
99
258
0
15 Nov 2022
Federated Learning for Autoencoder-based Condition Monitoring in the
  Industrial Internet of Things
Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things
Soeren Becker
K. Styp-Rekowski
O. Stoll
O. Kao
AI4CE
52
10
0
14 Nov 2022
Exploring Sequence-to-Sequence Transformer-Transducer Models for Keyword
  Spotting
Exploring Sequence-to-Sequence Transformer-Transducer Models for Keyword Spotting
Beltrán Labrador
Guanlong Zhao
Ignacio López Moreno
Angelo Scorza Scarpati
Liam H. Fowl
Quan Wang
41
2
0
11 Nov 2022
Robust Federated Learning against both Data Heterogeneity and Poisoning
  Attack via Aggregation Optimization
Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization
Yueqi Xie
Weizhong Zhang
Renjie Pi
Fangzhao Wu
Qifeng Chen
Xing Xie
Sunghun Kim
FedML
77
7
0
10 Nov 2022
Robust Smart Home Face Recognition under Starving Federated Data
Robust Smart Home Face Recognition under Starving Federated Data
Jaechul Roh
Yajun Fang
FedMLCVBMAAML
74
0
0
10 Nov 2022
Knowledge Distillation for Federated Learning: a Practical Guide
Knowledge Distillation for Federated Learning: a Practical Guide
Alessio Mora
Irene Tenison
Paolo Bellavista
Irina Rish
FedML
66
31
0
09 Nov 2022
Clustered Federated Learning based on Nonconvex Pairwise Fusion
Clustered Federated Learning based on Nonconvex Pairwise Fusion
Xue Yu
Ziyi Liu
Wu Wang
Yifan Sun
FedML
90
9
0
08 Nov 2022
Federated Learning Using Three-Operator ADMM
Federated Learning Using Three-Operator ADMM
Shashi Kant
J. M. B. D. Silva
Gábor Fodor
B. Goransson
M. Bengtsson
Carlo Fischione
FedML
50
5
0
08 Nov 2022
Privacy Meets Explainability: A Comprehensive Impact Benchmark
Privacy Meets Explainability: A Comprehensive Impact Benchmark
S. Saifullah
Dominique Mercier
Adriano Lucieri
Andreas Dengel
Sheraz Ahmed
67
14
0
08 Nov 2022
Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning
  Attacks
Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning Attacks
Naoya Tezuka
H. Ochiai
Yuwei Sun
Hiroshi Esaki
AAML
72
4
0
07 Nov 2022
Over-The-Air Clustered Wireless Federated Learning
Over-The-Air Clustered Wireless Federated Learning
Ayush Madhan-Sohini
Divin Dominic
Nazreen Shah
Ranjitha Prasad
100
3
0
07 Nov 2022
Distributed Linear Bandits under Communication Constraints
Distributed Linear Bandits under Communication Constraints
Sudeep Salgia
Qing Zhao
93
7
0
04 Nov 2022
Fairness in Federated Learning via Core-Stability
Fairness in Federated Learning via Core-Stability
Bhaskar Chaudhury
Linyi Li
Mintong Kang
Yue Liu
R. Mehta
FedML
78
33
0
03 Nov 2022
Adaptive Compression for Communication-Efficient Distributed Training
Adaptive Compression for Communication-Efficient Distributed Training
Maksim Makarenko
Elnur Gasanov
Rustem Islamov
Abdurakhmon Sadiev
Peter Richtárik
132
16
0
31 Oct 2022
A-LAQ: Adaptive Lazily Aggregated Quantized Gradient
A-LAQ: Adaptive Lazily Aggregated Quantized Gradient
Afsaneh Mahmoudi
José Hélio da Cruz Júnior
H. S. Ghadikolaei
Carlo Fischione
79
7
0
31 Oct 2022
Blind Asynchronous Over-the-Air Federated Edge Learning
Blind Asynchronous Over-the-Air Federated Edge Learning
Saeed Razavikia
Jaume Anguera Peris
J. M. B. D. Silva
Carlo Fischione
FedML
98
13
0
31 Oct 2022
FedMint: Intelligent Bilateral Client Selection in Federated Learning
  with Newcomer IoT Devices
FedMint: Intelligent Bilateral Client Selection in Federated Learning with Newcomer IoT Devices
O. Wehbi
S. Arisdakessian
Omar Abdel Wahab
Hadi Otrok
Safa Otoum
Azzam Mourad
Mohsen Guizani
FedML
52
13
0
31 Oct 2022
Imitation Learning-based Implicit Semantic-aware Communication Networks:
  Multi-layer Representation and Collaborative Reasoning
Imitation Learning-based Implicit Semantic-aware Communication Networks: Multi-layer Representation and Collaborative Reasoning
Yong Xiao
Zijian Sun
Guangming Shi
Dusit Niyato
125
36
0
28 Oct 2022
Differentially Private CutMix for Split Learning with Vision Transformer
Differentially Private CutMix for Split Learning with Vision Transformer
Seungeun Oh
Jihong Park
Sihun Baek
Hyelin Nam
Praneeth Vepakomma
Ramesh Raskar
M. Bennis
Seong-Lyun Kim
FedML
88
18
0
28 Oct 2022
Federated Learning based Energy Demand Prediction with Clustered
  Aggregation
Federated Learning based Energy Demand Prediction with Clustered Aggregation
Ye Lin Tun
K. Thar
Chu Myaet Thwal
Choong Seon Hong
65
57
0
28 Oct 2022
Addressing Heterogeneity in Federated Learning via Distributional
  Transformation
Addressing Heterogeneity in Federated Learning via Distributional Transformation
Haolin Yuan
Bo Hui
Yuchen Yang
Philippe Burlina
Neil Zhenqiang Gong
Yinzhi Cao
FedMLOOD
76
13
0
26 Oct 2022
Personalized Federated Learning via Heterogeneous Modular Networks
Personalized Federated Learning via Heterogeneous Modular Networks
Tianchun Wan
Wei Cheng
Dongsheng Luo
Wenchao Yu
Jingchao Ni
Liang Tong
Haifeng Chen
Xiang Zhang
75
13
0
26 Oct 2022
Coresets for Vertical Federated Learning: Regularized Linear Regression
  and $K$-Means Clustering
Coresets for Vertical Federated Learning: Regularized Linear Regression and KKK-Means Clustering
Lingxiao Huang
Zhize Li
Jialin Sun
Haoyu Zhao
FedML
101
9
0
26 Oct 2022
Provably Doubly Accelerated Federated Learning: The First Theoretically
  Successful Combination of Local Training and Communication Compression
Provably Doubly Accelerated Federated Learning: The First Theoretically Successful Combination of Local Training and Communication Compression
Laurent Condat
Ivan Agarský
Peter Richtárik
FedML
119
17
0
24 Oct 2022
Federated Learning and Meta Learning: Approaches, Applications, and
  Directions
Federated Learning and Meta Learning: Approaches, Applications, and Directions
Xiaonan Liu
Yansha Deng
Arumugam Nallanathan
M. Bennis
127
40
0
24 Oct 2022
On-Demand Sampling: Learning Optimally from Multiple Distributions
On-Demand Sampling: Learning Optimally from Multiple Distributions
Nika Haghtalab
Michael I. Jordan
Eric Zhao
FedML
159
38
0
22 Oct 2022
Mixed Precision Quantization to Tackle Gradient Leakage Attacks in
  Federated Learning
Mixed Precision Quantization to Tackle Gradient Leakage Attacks in Federated Learning
Pretom Roy Ovi
Emon Dey
Nirmalya Roy
A. Gangopadhyay
FedML
61
4
0
22 Oct 2022
Does Learning from Decentralized Non-IID Unlabeled Data Benefit from
  Self Supervision?
Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision?
Lirui Wang
Jianchao Tan
Yunzhu Li
Yonglong Tian
Russ Tedrake
107
17
0
20 Oct 2022
FedRecover: Recovering from Poisoning Attacks in Federated Learning
  using Historical Information
FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information
Xiaoyu Cao
Jinyuan Jia
Zaixi Zhang
Neil Zhenqiang Gong
FedMLMUAAML
93
79
0
20 Oct 2022
Backdoor Attack and Defense in Federated Generative Adversarial
  Network-based Medical Image Synthesis
Backdoor Attack and Defense in Federated Generative Adversarial Network-based Medical Image Synthesis
Ruinan Jin
Xiaoxiao Li
FedMLAAMLMedIm
148
23
0
19 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A
  Comprehensive Survey
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey
Huiyun Cao
Wenlong Zou
Yinkun Wang
Ting Song
Mengjun Liu
AAML
106
6
0
19 Oct 2022
Random Orthogonalization for Federated Learning in Massive MIMO Systems
Random Orthogonalization for Federated Learning in Massive MIMO Systems
Xizixiang Wei
Cong Shen
Jing Yang
H. Vincent Poor
92
14
0
18 Oct 2022
FLECS-CGD: A Federated Learning Second-Order Framework via Compression
  and Sketching with Compressed Gradient Differences
FLECS-CGD: A Federated Learning Second-Order Framework via Compression and Sketching with Compressed Gradient Differences
A. Agafonov
Brahim Erraji
Martin Takáč
FedML
103
4
0
18 Oct 2022
Towards Fair Classification against Poisoning Attacks
Towards Fair Classification against Poisoning Attacks
Han Xu
Xiaorui Liu
Yuxuan Wan
Jiliang Tang
89
2
0
18 Oct 2022
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth
  Channel and Vulnerability
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability
Zhao Song
Yitan Wang
Zheng Yu
Licheng Zhang
FedML
89
29
0
15 Oct 2022
CrowdGuard: Federated Backdoor Detection in Federated Learning
CrowdGuard: Federated Backdoor Detection in Federated Learning
Phillip Rieger
T. Krauß
Markus Miettinen
Alexandra Dmitrienko
Ahmad-Reza Sadeghi Technical University Darmstadt
AAMLFedML
108
22
0
14 Oct 2022
Communication-Efficient Adam-Type Algorithms for Distributed Data Mining
Communication-Efficient Adam-Type Algorithms for Distributed Data Mining
Wenhan Xian
Feihu Huang
Heng-Chiao Huang
FedML
69
0
0
14 Oct 2022
ScionFL: Efficient and Robust Secure Quantized Aggregation
ScionFL: Efficient and Robust Secure Quantized Aggregation
Y. Ben-Itzhak
Helen Mollering
Benny Pinkas
T. Schneider
Ajith Suresh
Oleksandr Tkachenko
S. Vargaftik
Christian Weinert
Hossein Yalame
Avishay Yanai
70
7
0
13 Oct 2022
Mitigating Unintended Memorization in Language Models via Alternating
  Teaching
Mitigating Unintended Memorization in Language Models via Alternating Teaching
Zhe Liu
Xuedong Zhang
Fuchun Peng
70
3
0
13 Oct 2022
A Survey on Heterogeneous Federated Learning
A Survey on Heterogeneous Federated Learning
Dashan Gao
Xin Yao
Qian Yang
FedML
103
64
0
10 Oct 2022
FedDef: Defense Against Gradient Leakage in Federated Learning-based
  Network Intrusion Detection Systems
FedDef: Defense Against Gradient Leakage in Federated Learning-based Network Intrusion Detection Systems
Jiahui Chen
Yi Zhao
Qi Li
Xuewei Feng
Ke Xu
AAMLFedML
129
15
0
08 Oct 2022
Communication-Efficient and Drift-Robust Federated Learning via Elastic
  Net
Communication-Efficient and Drift-Robust Federated Learning via Elastic Net
Seonhyeon Kim
Jiheon Woo
Daewon Seo
Yongjune Kim
FedML
100
1
0
06 Oct 2022
Over-the-Air Federated Learning with Privacy Protection via Correlated
  Additive Perturbations
Over-the-Air Federated Learning with Privacy Protection via Correlated Additive Perturbations
Jialing Liao
Zheng Chen
Erik G. Larsson
89
14
0
05 Oct 2022
ISFL: Federated Learning for Non-i.i.d. Data with Local Importance
  Sampling
ISFL: Federated Learning for Non-i.i.d. Data with Local Importance Sampling
Zheqi Zhu
Yuchen Shi
Pingyi Fan
Chenghui Peng
Khaled B. Letaief
FedML
111
10
0
05 Oct 2022
Group Personalized Federated Learning
Group Personalized Federated Learning
Zhe Liu
Yue Hui
Fuchun Peng
FedML
99
2
0
04 Oct 2022
OpBoost: A Vertical Federated Tree Boosting Framework Based on
  Order-Preserving Desensitization
OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization
Xiaochen Li
Yuke Hu
Weiran Liu
Hanwen Feng
Li Peng
Yuan Hong
Kui Ren
Zhan Qin
FedML
190
29
0
04 Oct 2022
PersA-FL: Personalized Asynchronous Federated Learning
PersA-FL: Personalized Asynchronous Federated Learning
Taha Toghani
Soomin Lee
César A. Uribe
FedML
130
6
0
03 Oct 2022
Unbounded Gradients in Federated Learning with Buffered Asynchronous
  Aggregation
Unbounded Gradients in Federated Learning with Buffered Asynchronous Aggregation
Taha Toghani
César A. Uribe
FedML
113
14
0
03 Oct 2022
FLCert: Provably Secure Federated Learning against Poisoning Attacks
FLCert: Provably Secure Federated Learning against Poisoning Attacks
Xiaoyu Cao
Zaixi Zhang
Jinyuan Jia
Neil Zhenqiang Gong
FedMLOOD
169
62
0
02 Oct 2022
Previous
123...131415...363738
Next