Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1902.01046
Cited By
v1
v2 (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
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Towards Federated Learning at Scale: System Design"
50 / 1,043 papers shown
Title
Federated style aware transformer aggregation of representations
Mincheol Jeon
Euinam Huh
124
0
0
24 Nov 2025
TOFA: Training-Free One-Shot Federated Adaptation for Vision-Language Models
Li Zhang
Zhongxuan Han
Xiaohua Feng
Jiaming Zhang
Yuyuan Li
Linbo Jiang
Jianan Lin
Chaochao Chen
FedML
VLM
353
0
0
20 Nov 2025
A Hybrid Proactive And Predictive Framework For Edge Cloud Resource Management
Hrikshesh Kumar
Anika Garg
Anshul Gupta
Yashika Agarwal
164
0
0
20 Nov 2025
SMoFi: Step-wise Momentum Fusion for Split Federated Learning on Heterogeneous Data
Mingkun Yang
Ran Zhu
Qing Wang
Jie Yang
FedML
331
0
0
13 Nov 2025
An Efficient Gradient-Aware Error-Bounded Lossy Compressor for Federated Learning
Zhijing Ye
Sheng Di
Jiamin Wang
Zhiqing Zhong
Zhaorui Zhang
Xiaodong Yu
FedML
144
0
0
07 Nov 2025
Edge AI in Highly Volatile Environments: Is Fairness Worth the Accuracy Trade-off?
Obaidullah Zaland
Feras M. Awaysheh
Sawsan Al Zubi
Abdul Rahman Safi
Monowar Bhuyan
AAML
98
0
0
03 Nov 2025
Reviving Stale Updates: Data-Free Knowledge Distillation for Asynchronous Federated Learning
Baris Askin
Holger Roth
Zhenyu Sun
Carlee Joe-Wong
Gauri Joshi
Ziyue Xu
FedML
188
0
0
01 Nov 2025
FedMGP: Personalized Federated Learning with Multi-Group Text-Visual Prompts
Weihao Bo
Yanpeng Sun
Y. Wang
X. Zhang
Zechao Li
FedML
VLM
258
0
0
01 Nov 2025
Cluster-Based Client Selection for Dependent Multi-Task Federated Learning in Edge Computing
Jieping Luo
Qiyue Li
Zhizhang Liu
Hang Qi
Jiaying Yin
Jingjin Wu
FedML
88
0
0
15 Oct 2025
Research in Collaborative Learning Does Not Serve Cross-Silo Federated Learning in Practice
Kevin Kuo
Chhavi Yadav
Virginia Smith
FedML
156
0
0
14 Oct 2025
PubSub-VFL: Towards Efficient Two-Party Split Learning in Heterogeneous Environments via Publisher/Subscriber Architecture
Yi Liu
Yang Liu
Leqian Zheng
Jue Hong
Junjie Shi
Qingyou Yang
Ye Wu
Cong Wang
92
0
0
14 Oct 2025
FedHybrid: Breaking the Memory Wall of Federated Learning via Hybrid Tensor Management
ACM International Conference on Embedded Networked Sensor Systems (SenSys), 2024
Kahou Tam
Chunlin Tian
Li Li
Haikai Zhao
Chengzhong Xu
FedML
157
6
0
13 Oct 2025
Evaluation of Differential Privacy Mechanisms on Federated Learning
Tejash Varsani
FedML
70
0
0
09 Oct 2025
Reconquering Bell sampling on qudits: stabilizer learning and testing, quantum pseudorandomness bounds, and more
J. Allcock
Joao F. Doriguello
Gábor Ivanyos
M. Santha
183
0
0
08 Oct 2025
TS-Agent: A Time Series Reasoning Agent with Iterative Statistical Insight Gathering
Penghang Liu
Elizabeth Fons
Svitlana Vyetrenko
Daniel Borrajo
Vamsi K. Potluru
Manuela Veloso
LLMAG
AI4TS
RALM
111
0
0
08 Oct 2025
FTTE: Federated Learning on Resource-Constrained Devices
Irene Tenison
Anna Murphy
Charles Beauville
Lalana Kagal
FedML
76
0
0
03 Oct 2025
Towards Adapting Federated & Quantum Machine Learning for Network Intrusion Detection: A Survey
International Conference on Modern Circuits and Systems Technologies (ICMCST), 2025
Devashish Chaudhary
Sutharshan Rajasegarar
Mengyue Deng
FedML
AI4CE
411
1
0
24 Sep 2025
OmniFed: A Modular Framework for Configurable Federated Learning from Edge to HPC
Sahil Tyagi
Andrei Cozma
Olivera Kotevska
Feiyi Wang
FedML
162
0
0
23 Sep 2025
FedAVOT: Exact Distribution Alignment in Federated Learning via Masked Optimal Transport
Herlock
Rahimi
Dionysis Kalogerias
FedML
72
0
0
17 Sep 2025
PracMHBench: Re-evaluating Model-Heterogeneous Federated Learning Based on Practical Edge Device Constraints
Design Automation Conference (DAC), 2025
Yuanchun Guo
Bingyan Liu
Yulong Sha
Zhensheng Xian
150
0
0
04 Sep 2025
Optimizing Federated Learning for Scalable Power-demand Forecasting in Microgrids
eScience (eScience), 2025
Roopkatha Banerjee
Sampath Koti
Gyanendra Singh
Anirban Chakraborty
Gurunath Gurrala
Bhushan Jagyasi
Yogesh Simmhan
124
1
0
11 Aug 2025
SenseCrypt: Sensitivity-guided Selective Homomorphic Encryption for Joint Federated Learning in Cross-Device Scenarios
Borui Li
Li Yan
Junhao Han
Jianmin Liu
Lei Yu
FedML
92
0
0
06 Aug 2025
FLAT: Latent-Driven Arbitrary-Target Backdoor Attacks in Federated Learning
T. Nguyen
Khoa D. Doan
Kok-Seng Wong
FedML
AAML
82
1
0
06 Aug 2025
Asynchronous Federated Learning with non-convex client objective functions and heterogeneous dataset
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2025
Ali Forootani
Raffaele Iervolino
FedML
83
0
0
03 Aug 2025
Dynamic Clustering for Personalized Federated Learning on Heterogeneous Edge Devices
Heting Liu
Junzhe Huang
Fang He
Guohong Cao
FedML
125
0
0
03 Aug 2025
FedCVD++: Communication-Efficient Federated Learning for Cardiovascular Risk Prediction with Parametric and Non-Parametric Model Optimization
Abdelrhman Gaber
Hassan Abd-Eltawab
John Elgallab
Youssif Abuzied
Dineo Mpanya
Turgay Celik
Swarun Kumar
Tamer ElBatt
FedML
105
0
0
30 Jul 2025
FedABC: Attention-Based Client Selection for Federated Learning with Long-Term View
Wenxuan Ye
Xueli An
Junfan Wang
Xueqiang Yan
Georg Carle
FedML
149
0
0
28 Jul 2025
FedChip: Federated LLM for Artificial Intelligence Accelerator Chip Design
Mahmoud Nazzal
Khoa Nguyen
Deepak Vungarala
Ramtin Zand
Shaahin Angizi
Hai Phan
Abdallah Khreishah
72
1
0
23 Jul 2025
FuSeFL: Fully Secure and Scalable Cross-Silo Federated Learning
Sahar Ghoflsaz Ghinani
Elaheh Sadredini
FedML
166
2
0
18 Jul 2025
SecureFed: A Two-Phase Framework for Detecting Malicious Clients in Federated Learning
IEEE International Conference on Information Reuse and Integration (IRI), 2025
Likhitha Annapurna Kavuri
Akshay Mhatre
Akarsh K Nair
Deepti Gupta
120
1
0
19 Jun 2025
Clustered Federated Learning via Embedding Distributions
Dekai Zhang
Matthew Williams
Francesca Toni
FedML
147
0
0
09 Jun 2025
FedAPM: Federated Learning via ADMM with Partial Model Personalization
Shengkun Zhu
Feiteng Nie
Jinshan Zeng
Sheng Wang
Yuan Sun
Yuan Yao
Shangfeng Chen
Quanqing Xu
Chuanhui Yang
FedML
222
0
0
05 Jun 2025
Unified Alignment Protocol: Making Sense of the Unlabeled Data in New Domains
Sabbir Ahmed
Mamshad Nayeem Rizve
Abdullah Al Arafat
Jacqueline T. Liu
Rahim Hossain
Mohaiminul Al Nahian
Adnan Siraj Rakin
FedML
184
0
0
27 May 2025
Fairness in Federated Learning: Fairness for Whom?
Afaf Taik
Khaoula Chehbouni
G. Farnadi
FedML
185
1
0
27 May 2025
Addressing Data Quality Decompensation in Federated Learning via Dynamic Client Selection
Future generations computer systems (FGCS), 2025
Qinjun Fei
Nuria Rodríguez-Barroso
M. V. Luzón
Zhongliang Zhang
Francisco Herrera
FedML
168
0
0
27 May 2025
Label Leakage in Federated Inertial-based Human Activity Recognition
Marius Bock
Maximilian Hopp
Kristof Van Laerhoven
Michael Moeller
AAML
260
0
0
27 May 2025
EdgeAgentX: A Novel Framework for Agentic AI at the Edge in Military Communication Networks
Abir Ray
150
0
0
24 May 2025
A Two-Stage Data Selection Framework for Data-Efficient Model Training on Edge Devices
Knowledge Discovery and Data Mining (KDD), 2025
Chen Gong
Rui Xing
Zhenzhe Zheng
Fan Wu
153
2
0
22 May 2025
RIFLES: Resource-effIcient Federated LEarning via Scheduling
Sara Alosaime
Arshad Jhumka
FedML
157
0
0
19 May 2025
SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding
Peihua Mai
Youlong Ding
Ziyan Lyu
Minxin Du
Yan Pang
FedML
235
0
0
18 May 2025
Toward Malicious Clients Detection in Federated Learning
ACM Asia Conference on Computer and Communications Security (AsiaCCS), 2025
Zhihao Dou
Jiaqi Wang
Wei Sun
Zhuqing Liu
Minghong Fang
AAML
305
2
0
14 May 2025
Energy-Efficient Federated Learning for AIoT using Clustering Methods
IEEE Internet of Things Journal (IEEE IoT J.), 2025
Roberto Pereira
Fernanda Famá
Charalampos Kalalas
Paolo Dini
172
0
0
14 May 2025
A Federated Random Forest Solution for Secure Distributed Machine Learning
Alexandre Cotorobai
Jorge Miguel Silva
Jose Luis Oliveira
OOD
FedML
255
2
0
12 May 2025
Small-Scale-Fading-Aware Resource Allocation in Wireless Federated Learning
Jiacheng Wang
Le Liang
Hao Ye
Chongtao Guo
Shi Jin
146
0
0
06 May 2025
PQS-BFL: A Post-Quantum Secure Blockchain-based Federated Learning Framework
Daniel Commey
Garth V. Crosby
162
3
0
03 May 2025
Federated Learning: A Survey on Privacy-Preserving Collaborative Intelligence
Edward Collins
FedML
428
8
0
24 Apr 2025
Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks
Yang Liu
Bingjie Yan
Tianyuan Zou
Jianqing Zhang
Zixuan Gu
...
Jiajian Li
Xiaozhou Ye
Ye Ouyang
Qiang Yang
Yanzhe Zhang
ALM
978
2
0
24 Apr 2025
Towards a Distributed Federated Learning Aggregation Placement using Particle Swarm Intelligence
Amir Ali-Pour
Sadra Bekrani
Laya Samizadeh
Julien Gascon-Samson
FedML
159
0
0
22 Apr 2025
FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching
IEEE Conference on Computer Communications (IEEE INFOCOM), 2025
Qifan Yan
Andrew Liu
Shiqi He
Mathias Lécuyer
Ivan Beschastnikh
FedML
401
1
0
21 Apr 2025
Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions
Chaoyue Niu
Yucheng Ding
Junhui Lu
Zhengxiang Huang
Hang Zeng
Yutong Dai
Xuezhen Tu
Chengfei Lv
Fan Wu
Guihai Chen
311
2
0
17 Apr 2025
1
2
3
4
...
19
20
21
Next