ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1902.01046
  4. Cited By
Towards Federated Learning at Scale: System Design
v1v2 (latest)

Towards Federated Learning at Scale: System Design

4 February 2019
Keith Bonawitz
Hubert Eichner
W. Grieskamp
Dzmitry Huba
A. Ingerman
Vladimir Ivanov
Chloé Kiddon
Jakub Konecný
S. Mazzocchi
H. B. McMahan
Timon Van Overveldt
David Petrou
Daniel Ramage
Jason Roselander
    FedML
ArXiv (abs)PDFHTML

Papers citing "Towards Federated Learning at Scale: System Design"

50 / 1,048 papers shown
Conformal Prediction for Federated Uncertainty Quantification Under
  Label Shift
Conformal Prediction for Federated Uncertainty Quantification Under Label ShiftInternational Conference on Machine Learning (ICML), 2023
Vincent Plassier
Mehdi Makni
Aleksandr Rubashevskii
Eric Moulines
Maxim Panov
FedML
255
21
0
08 Jun 2023
A Lightweight Method for Tackling Unknown Participation Statistics in
  Federated Averaging
A Lightweight Method for Tackling Unknown Participation Statistics in Federated AveragingInternational Conference on Learning Representations (ICLR), 2023
Maroun Touma
Mingyue Ji
FedML
343
0
0
06 Jun 2023
GPT-FL: Generative Pre-trained Model-Assisted Federated Learning
GPT-FL: Generative Pre-trained Model-Assisted Federated Learning
Tuo Zhang
Tiantian Feng
Samiul Alam
Dimitrios Dimitriadis
Sunwoo Lee
Mi Zhang
Shrikanth S. Narayanan
Salman Avestimehr
FedML
487
31
0
03 Jun 2023
Decentralized Federated Learning: A Survey and Perspective
Decentralized Federated Learning: A Survey and PerspectiveIEEE Internet of Things Journal (IEEE IoT J.), 2023
Liangqi Yuan
Ziran Wang
Lichao Sun
Philip S. Yu
Christopher G. Brinton
FedML
311
216
0
02 Jun 2023
Federated Domain Generalization: A Survey
Federated Domain Generalization: A SurveyProceedings of the IEEE (Proc. IEEE), 2023
Ying Li
Xingwei Wang
Rongfei Zeng
Praveen Kumar Donta
Ilir Murturi
Min Huang
Schahram Dustdar
OODFedMLAI4CE
345
44
0
02 Jun 2023
An Empirical Study of Federated Learning on IoT-Edge Devices: Resource
  Allocation and Heterogeneity
An Empirical Study of Federated Learning on IoT-Edge Devices: Resource Allocation and HeterogeneityIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Kok-Seng Wong
Manh Nguyen-Duc
Khiem Le-Huy
Long Ho-Tuan
Cuong Do-Danh
Danh Le-Phuoc
FedML
178
14
0
31 May 2023
FedCSD: A Federated Learning Based Approach for Code-Smell Detection
FedCSD: A Federated Learning Based Approach for Code-Smell DetectionIEEE Access (IEEE Access), 2023
Sadi Alawadi
Khalid Alkharabsheh
Fahed Alkhabbas
V. Kebande
Feras M. Awaysheh
Fabio Palomba
Mohammed Awad
FedML
340
15
0
31 May 2023
Deep Equilibrium Models Meet Federated Learning
Deep Equilibrium Models Meet Federated LearningEuropean Signal Processing Conference (EUSIPCO), 2023
A. Gkillas
D. Ampeliotis
K. Berberidis
FedML
177
3
0
29 May 2023
Federated Learning of Gboard Language Models with Differential Privacy
Federated Learning of Gboard Language Models with Differential PrivacyAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Zheng Xu
Yanxiang Zhang
Galen Andrew
Christopher A. Choquette-Choo
Peter Kairouz
H. B. McMahan
Jesse Rosenstock
Yuanbo Zhang
FedML
493
104
0
29 May 2023
BFRT: Blockchained Federated Learning for Real-time Traffic Flow
  Prediction
BFRT: Blockchained Federated Learning for Real-time Traffic Flow PredictionIEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2022
Collin Meese
Hang Chen
Syed Ali Asif
Wanxin Li
Chien-Chung Shen
Mark M. Nejad
214
32
0
28 May 2023
FAVANO: Federated AVeraging with Asynchronous NOdes
FAVANO: Federated AVeraging with Asynchronous NOdesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Louis Leconte
Van Minh Nguyen
Eric Moulines
FedML
292
3
0
25 May 2023
FedHC: A Scalable Federated Learning Framework for Heterogeneous and
  Resource-Constrained Clients
FedHC: A Scalable Federated Learning Framework for Heterogeneous and Resource-Constrained Clients
Hao Fei
Fuxun Yu
Yongbo Yu
Minjia Zhang
Ang Li
Xiang Chen
FedML
133
2
0
25 May 2023
Lightweight Learner for Shared Knowledge Lifelong Learning
Lightweight Learner for Shared Knowledge Lifelong Learning
Yunhao Ge
Yuecheng Li
Di Wu
Ao Xu
Adam M. Jones
...
Gozde Sahin
Shuo Ni
Kiran Lekkala
Sumedh Anand Sontakke
Laurent Itti
CLL
176
13
0
24 May 2023
Federated Learning Model Aggregation in Heterogenous Aerial and Space
  Networks
Federated Learning Model Aggregation in Heterogenous Aerial and Space Networks
Fan Dong
A. Abbasi
Henry Leung
Xin Eric Wang
Jiayu Zhou
Steve Drew
FedML
216
1
0
24 May 2023
FedZero: Leveraging Renewable Excess Energy in Federated Learning
FedZero: Leveraging Renewable Excess Energy in Federated LearningEnergy-Efficient Computing and Networking (e-Energy), 2023
Philipp Wiesner
R. Khalili
Dennis Grinwald
Pratik Agrawal
L. Thamsen
O. Kao
246
36
0
24 May 2023
The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup
  and Beyond
The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and BeyondInternational Conference on Machine Learning (ICML), 2023
Jiin Woo
Gauri Joshi
Yuejie Chi
FedML
348
32
0
18 May 2023
Faster Federated Learning with Decaying Number of Local SGD Steps
Faster Federated Learning with Decaying Number of Local SGD StepsIEEE Transactions on Parallel and Distributed Systems (TPDS), 2023
Jed Mills
Jia Hu
Geyong Min
FedML
160
12
0
16 May 2023
Smart Policy Control for Securing Federated Learning Management System
Smart Policy Control for Securing Federated Learning Management SystemIEEE Transactions on Network and Service Management (TNSM), 2023
Aditya Pribadi Kalapaaking
Ibrahim Khalil
Mohammed Atiquzzaman
153
21
0
16 May 2023
Federated Learning over Harmonized Data Silos
Federated Learning over Harmonized Data Silos
Dimitris Stripelis
J. Ambite
FedML
175
2
0
15 May 2023
Federated TD Learning over Finite-Rate Erasure Channels: Linear Speedup
  under Markovian Sampling
Federated TD Learning over Finite-Rate Erasure Channels: Linear Speedup under Markovian SamplingIEEE Control Systems Letters (L-CSS), 2023
Nicolò Dal Fabbro
A. Mitra
George J. Pappas
FedML
216
18
0
14 May 2023
Two-in-One: A Model Hijacking Attack Against Text Generation Models
Two-in-One: A Model Hijacking Attack Against Text Generation ModelsUSENIX Security Symposium (USENIX Security), 2023
Waiman Si
Michael Backes
Yang Zhang
A. Salem
SILM
157
25
0
12 May 2023
Survey of Federated Learning Models for Spatial-Temporal Mobility
  Applications
Survey of Federated Learning Models for Spatial-Temporal Mobility Applications
Yacine Belal
Sonia Ben Mokhtar
Hamed Haddadi
Jaron Wang
A. Mashhadi
FedML
443
19
0
09 May 2023
Flame: Simplifying Topology Extension in Federated Learning
Flame: Simplifying Topology Extension in Federated LearningACM Symposium on Cloud Computing (SoCC), 2023
Harshit Daga
Jae-Kwang Shin
D. Garg
Ada Gavrilovska
Myungjin Lee
Ramana Rao Kompella
AI4CE
274
12
0
09 May 2023
Federated Learning in Wireless Networks via Over-the-Air Computations
Federated Learning in Wireless Networks via Over-the-Air ComputationsIEEE Conference on Decision and Control (CDC), 2023
Halil Yigit Oksuz
Fabio Molinari
Henning Sprekeler
J. Raisch
FedML
116
2
0
08 May 2023
WWFedCBMIR: World-Wide Federated Content-Based Medical Image Retrieval
WWFedCBMIR: World-Wide Federated Content-Based Medical Image Retrieval
Zahra Tabatabaei
Yuandou Wang
Adrián Colomer
Javier Oliver Moll
Zhiming Zhao
Valery Naranjo
MedIm
163
16
0
05 May 2023
Connecting the Dots in Trustworthy Artificial Intelligence: From AI
  Principles, Ethics, and Key Requirements to Responsible AI Systems and
  Regulation
Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and RegulationInformation Fusion (Inf. Fusion), 2023
Natalia Díaz Rodríguez
Javier Del Ser
Mark Coeckelbergh
Marcos López de Prado
E. Herrera-Viedma
Francisco Herrera
XAI
339
462
0
02 May 2023
Fed-BioMed: Open, Transparent and Trusted Federated Learning for
  Real-world Healthcare Applications
Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications
Francesco Cremonesi
Marc Vesin
Sergen Cansiz
Yannick Bouillard
Irene Balelli
...
B. Houis
R. Modzelewski
O. Humbert
Melek Önen
Marco Lorenzi
FedMLOOD
265
17
0
24 Apr 2023
Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning
Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated LearningIEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Manaar Alam
Hithem Lamri
Michail Maniatakos
FedMLAAMLMU
198
24
0
20 Apr 2023
Model Pruning Enables Localized and Efficient Federated Learning for
  Yield Forecasting and Data Sharing
Model Pruning Enables Localized and Efficient Federated Learning for Yield Forecasting and Data SharingExpert systems with applications (ESWA), 2023
An-dong Li
Milan Markovic
P. Edwards
Georgios Leontidis
FedML
148
27
0
19 Apr 2023
Decentralized Learning Made Easy with DecentralizePy
Decentralized Learning Made Easy with DecentralizePy
Akash Dhasade
Anne-Marie Kermarrec
Rafael Pires
Rishi Sharma
Milos Vujasinovic
174
19
0
17 Apr 2023
Gradient-less Federated Gradient Boosting Trees with Learnable Learning
  Rates
Gradient-less Federated Gradient Boosting Trees with Learnable Learning Rates
Chenyang Ma
Xinchi Qiu
Daniel J. Beutel
Nicholas D. Lane
FedML
241
21
0
15 Apr 2023
SalientGrads: Sparse Models for Communication Efficient and Data Aware
  Distributed Federated Training
SalientGrads: Sparse Models for Communication Efficient and Data Aware Distributed Federated Training
Riyasat Ohib
Bishal Thapaliya
Pratyush Gaggenapalli
Qingbin Liu
Vince D. Calhoun
Sergey Plis
FedML
188
3
0
15 Apr 2023
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving
  Services
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving ServicesIEEE Communications Surveys and Tutorials (COMST), 2023
Dewant Katare
Diego Perino
J. Nurmi
M. Warnier
Marijn Janssen
Aaron Yi Ding
288
65
0
13 Apr 2023
False Claims against Model Ownership Resolution
False Claims against Model Ownership ResolutionUSENIX Security Symposium (USENIX Security), 2023
Jian Liu
Rui Zhang
S. Szyller
Kui Ren
Nirmal Asokan
AAMLMLAU
691
18
0
13 Apr 2023
Decentralized federated learning methods for reducing communication cost
  and energy consumption in UAV networks
Decentralized federated learning methods for reducing communication cost and energy consumption in UAV networksMobile Computing, Applications, and Services (MobiCASE), 2023
Deng Pan
M. Khoshkholghi
Toktam Mahmoodi
150
3
0
13 Apr 2023
Edge-cloud Collaborative Learning with Federated and Centralized
  Features
Edge-cloud Collaborative Learning with Federated and Centralized FeaturesAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Zexi Li
Qunwei Li
Yi Zhou
Wenliang Zhong
Guannan Zhang
Chao-Xiang Wu
FedML
159
20
0
12 Apr 2023
FedTrip: A Resource-Efficient Federated Learning Method with Triplet
  Regularization
FedTrip: A Resource-Efficient Federated Learning Method with Triplet RegularizationIEEE International Parallel and Distributed Processing Symposium (IPDPS), 2023
Xujing Li
Min Liu
Sheng Sun
Yuwei Wang
Hui Jiang
Xue Jiang
140
6
0
12 Apr 2023
Accelerating Hybrid Federated Learning Convergence under Partial
  Participation
Accelerating Hybrid Federated Learning Convergence under Partial ParticipationIEEE Transactions on Signal Processing (IEEE TSP), 2023
Jieming Bian
Lei Wang
Kun Yang
Cong Shen
Jie Xu
FedML
295
23
0
10 Apr 2023
DPP-based Client Selection for Federated Learning with Non-IID Data
DPP-based Client Selection for Federated Learning with Non-IID DataIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Yuxuan Zhang
Chao Xu
Howard H. Yang
Xijun Wang
Tony Q.S. Quek
FedML
266
10
0
30 Mar 2023
FedAgg: Adaptive Federated Learning with Aggregated Gradients
FedAgg: Adaptive Federated Learning with Aggregated Gradients
Wenhao Yuan
Xuehe Wang
FedML
456
3
0
28 Mar 2023
Green Federated Learning
Green Federated Learning
Ashkan Yousefpour
Sheng Guo
Ashish Shenoy
Sayan Ghosh
Pierre Stock
Kiwan Maeng
Schalk-Willem Kruger
Michael G. Rabbat
Carole-Jean Wu
Ilya Mironov
FedMLAI4CE
280
18
0
26 Mar 2023
FS-Real: Towards Real-World Cross-Device Federated Learning
FS-Real: Towards Real-World Cross-Device Federated LearningKnowledge Discovery and Data Mining (KDD), 2023
Daoyuan Chen
Dawei Gao
Yuexiang Xie
Xuchen Pan
Zitao Li
Yaliang Li
Bolin Ding
Jingren Zhou
261
38
0
23 Mar 2023
When Evolutionary Computation Meets Privacy
When Evolutionary Computation Meets PrivacyIEEE Computational Intelligence Magazine (IEEE CIM), 2023
Bowen Zhao
Wei Chen
Xiaoguo Li
Ximeng Liu
Qingqi Pei
Jun Zhang
138
7
0
22 Mar 2023
Hierarchical Personalized Federated Learning Over Massive Mobile Edge
  Computing Networks
Hierarchical Personalized Federated Learning Over Massive Mobile Edge Computing NetworksIEEE Transactions on Wireless Communications (IEEE TWC), 2023
Chaoqun You
Kun Guo
Howard H. Yang
Tony Q.S. Quek
171
28
0
19 Mar 2023
Client Selection for Generalization in Accelerated Federated Learning: A
  Multi-Armed Bandit Approach
Client Selection for Generalization in Accelerated Federated Learning: A Multi-Armed Bandit ApproachIEEE Access (IEEE Access), 2023
Dan Ben Ami
Kobi Cohen
Qing Zhao
FedML
196
20
0
18 Mar 2023
Multi-Task Model Personalization for Federated Supervised SVM in
  Heterogeneous Networks
Multi-Task Model Personalization for Federated Supervised SVM in Heterogeneous NetworksIEEE Transactions on Mobile Computing (IEEE TMC), 2023
Aleksei A. Ponomarenko-Timofeev
O. Galinina
Ravikumar Balakrishnan
N. Himayat
Sergey D. Andreev
Y. Koucheryavy
FedML
233
4
0
17 Mar 2023
Comparative Evaluation of Data Decoupling Techniques for Federated
  Machine Learning with Database as a Service
Comparative Evaluation of Data Decoupling Techniques for Federated Machine Learning with Database as a Service
Muhammad Jahanzeb Khan
Rui Hu
Mohammad Sadoghi
Dongfang Zhao
FedML
93
0
0
15 Mar 2023
Network Anomaly Detection Using Federated Learning
Network Anomaly Detection Using Federated LearningIEEE Military Communications Conference (MILCOM), 2022
William Marfo
Deepak K. Tosh
Shirley V. Moore
FedML
159
24
0
13 Mar 2023
Blockchain-Empowered Trustworthy Data Sharing: Fundamentals,
  Applications, and Challenges
Blockchain-Empowered Trustworthy Data Sharing: Fundamentals, Applications, and ChallengesACM Computing Surveys (ACM Comput. Surv.), 2023
Linh-TX Nguyen
L. Nguyen
Thong Hoang
Dilum Bandara
Qin Wang
Qinghua Lu
Xiwei Xu
Liming Zhu
P. Popovski
Shiping Chen
197
41
0
12 Mar 2023
Considerations on the Theory of Training Models with Differential
  Privacy
Considerations on the Theory of Training Models with Differential Privacy
Marten van Dijk
Phuong Ha Nguyen
FedML
229
3
0
08 Mar 2023
Previous
123...678...192021
Next
Page 7 of 21
Pageof 21