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 / 1,045 papers shown
Open Challenges and Opportunities in Federated Foundation Models Towards Biomedical Healthcare
Xingyu Li
Lu Peng
Yuping Wang
Weihua Zhang
AI4CE
MedIm
LM&MA
341
32
0
10 May 2024
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization
International Joint Conference on Artificial Intelligence (IJCAI), 2024
Zhiyuan Ning
Chunlin Tian
Meng Xiao
Wei Fan
Pengyang Wang
Li Li
P. Wang
Yuanchun Zhou
220
15
0
10 May 2024
FedStale: leveraging stale client updates in federated learning
Angelo Rodio
Giovanni Neglia
FedML
231
8
0
07 May 2024
LIFL: A Lightweight, Event-driven Serverless Platform for Federated Learning
Conference on Machine Learning and Systems (MLSys), 2024
Shixiong Qi
K. K. Ramakrishnan
Myungjin Lee
306
4
0
05 May 2024
Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation
International Conference on Machine Learning (ICML), 2024
Haibo Yang
Pei-Yuan Qiu
Prashant Khanduri
Minghong Fang
Jia Liu
FedML
248
5
0
04 May 2024
Communication-Efficient Training Workload Balancing for Decentralized Multi-Agent Learning
Seyed Mahmoud Sajjadi Mohammadabadi
Lei Yang
Feng Yan
Junshan Zhang
213
16
0
01 May 2024
Harnessing Federated Generative Learning for Green and Sustainable Internet of Things
Yuanhang Qi
M. Hossain
195
10
0
30 Apr 2024
TabVFL: Improving Latent Representation in Vertical Federated Learning
Mohamed Rashad
Zilong Zhao
Jérémie Decouchant
Lydia Y. Chen
FedML
272
1
0
27 Apr 2024
Privacy-Preserving, Dropout-Resilient Aggregation in Decentralized Learning
Ali Reza Ghavamipour
Benjamin Zi Hao Zhao
Fatih Turkmen
OOD
150
1
0
27 Apr 2024
Privacy-Preserving Aggregation for Decentralized Learning with Byzantine-Robustness
Ali Reza Ghavamipour
Benjamin Zi Hao Zhao
Oguzhan Ersoy
Fatih Turkmen
FedML
AAML
168
3
0
27 Apr 2024
Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning
Tao Liu
Yuhang Zhang
Zhu Feng
Zhiqin Yang
Chen Xu
Dapeng Man
Wu Yang
FedML
AAML
242
30
0
26 Apr 2024
Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks
Bing Luo
Wenli Xiao
Maroun Touma
Jianwei Huang
Leandros Tassiulas
FedML
252
13
0
22 Apr 2024
FedTrans: Efficient Federated Learning via Multi-Model Transformation
Yuxuan Zhu
Jiachen Liu
Mosharaf Chowdhury
Fan Lai
287
1
0
21 Apr 2024
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues
Zibo Wang
Haichao Ji
Yifei Zhu
Dan Wang
Zhu Han
408
5
0
19 Apr 2024
One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity
Naibo Wang
Yuchen Deng
Wenjie Feng
Shichen Fan
Yuxiang Cai
See-Kiong Ng
FedML
268
14
0
18 Apr 2024
FedMID: A Data-Free Method for Using Intermediate Outputs as a Defense Mechanism Against Poisoning Attacks in Federated Learning
Sungwon Han
Hyeonho Song
Sungwon Park
Meeyoung Cha
FedML
AAML
213
0
0
18 Apr 2024
Confidential Federated Computations
Hubert Eichner
Daniel Ramage
Kallista A. Bonawitz
Dzmitry Huba
Tiziano Santoro
...
Albert Cheu
Katharine Daly
Adria Gascon
Marco Gruteser
Brendan McMahan
377
10
0
16 Apr 2024
Empowering Federated Learning with Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics
Ming Xiang
Stratis Ioannidis
Edmund Yeh
Carlee Joe-Wong
Lili Su
FedML
237
5
0
15 Apr 2024
FMDA-OT: Federated Multi-source Domain Adaptation Through Optimal Transport
Omar Ghannou
Younès Bennani
85
0
0
09 Apr 2024
pfl-research: simulation framework for accelerating research in Private Federated Learning
Neural Information Processing Systems (NeurIPS), 2024
Filip Granqvist
Congzheng Song
Áine Cahill
Rogier van Dalen
Martin Pelikan
Yi Sheng Chan
Xiaojun Feng
Natarajan Krishnaswami
Vojta Jina
Mona Chitnis
FedML
228
13
0
09 Apr 2024
Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey
Feng Liang
Zhen Zhang
Haifeng Lu
Victor C. M. Leung
Yanyi Guo
Xiping Hu
GNN
350
24
0
09 Apr 2024
Prompt Public Large Language Models to Synthesize Data for Private On-device Applications
Shanshan Wu
Zheng Xu
Yanxiang Zhang
Yuanbo Zhang
Daniel Ramage
SyDa
272
15
0
05 Apr 2024
Federated Computing -- Survey on Building Blocks, Extensions and Systems
René Schwermer
R. Mayer
Hans-Arno Jacobsen
FedML
217
3
0
03 Apr 2024
Federated Distillation: A Survey
Lin Li
Jianping Gou
Baosheng Yu
Lan Du
Zhang Yiand Dacheng Tao
DD
FedML
320
22
0
02 Apr 2024
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline
Anas Al-Lahham
Muhammad Zaigham Zaheer
Nurbek Tastan
Karthik Nandakumar
247
20
0
01 Apr 2024
Biased Over-the-Air Federated Learning under Wireless Heterogeneity
Muhammad Faraz Ul Abrar
Nicolò Michelusi
164
4
0
28 Mar 2024
Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning
Ji Liu
Chunlu Chen
Yu Li
Lin Sun
Yulun Song
Jingbo Zhou
Bo Jing
Dejing Dou
240
35
0
28 Mar 2024
Improving the Bit Complexity of Communication for Distributed Convex Optimization
Mehrdad Ghadiri
Yin Tat Lee
Swati Padmanabhan
W. Swartworth
David P. Woodruff
Guanghao Ye
155
8
0
28 Mar 2024
Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates
Natalie Lang
Alejandro Cohen
Stefano Rini
FedML
232
12
0
27 Mar 2024
FLIGAN: Enhancing Federated Learning with Incomplete Data using GAN
Paul Joe Maliakel
Shashikant Ilager
Ivona Brandić
148
16
0
25 Mar 2024
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures
S. V. Dibbo
Adam Breuer
Juston S. Moore
Michael Teti
AAML
256
7
0
21 Mar 2024
Enabling Privacy-preserving Model Evaluation in Federated Learning via Fully Homomorphic Encryption
Cem Ata Baykara
Ali Burak Ünal
Mete Akgün
FedML
162
0
0
21 Mar 2024
FedSR: A Semi-Decentralized Federated Learning Algorithm for Non-IIDness in IoT System
Jianjun Huang
Lixin Ye
Li Kang
FedML
132
3
0
19 Mar 2024
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update
AAAI Conference on Artificial Intelligence (AAAI), 2024
Ziru Niu
Hai Dong
•. A. K. Qin
337
5
0
18 Mar 2024
Pencil: Private and Extensible Collaborative Learning without the Non-Colluding Assumption
Xuanqi Liu
Zhuotao Liu
Qi Li
Ke Xu
Mingwei Xu
162
12
0
17 Mar 2024
Dynamic Client Clustering, Bandwidth Allocation, and Workload Optimization for Semi-synchronous Federated Learning
Liang Yu
Xiang Sun
Rana Albelaihi
Chaeeun Park
Sihua Shao
FedML
163
2
0
11 Mar 2024
Federated Learning: Attacks, Defenses, Opportunities, and Challenges
International Symposium on Telecommunications (IST), 2024
Ghazaleh Shirvani
Saeid Ghasemshirazi
Behzad Beigzadeh
FedML
302
7
0
10 Mar 2024
Federated Learning Method for Preserving Privacy in Face Recognition System
Enoch Solomon
Abraham Woubie
FedML
203
8
0
08 Mar 2024
Boosting Fairness and Robustness in Over-the-Air Federated Learning
Halil Yigit Oksuz
Fabio Molinari
Henning Sprekeler
Joerg Raisch
FedML
160
1
0
07 Mar 2024
Privacy-Preserving Collaborative Split Learning Framework for Smart Grid Load Forecasting
Asif Iqbal
P. Gope
Biplab Sikdar
353
5
0
03 Mar 2024
Federated Linear Contextual Bandits with Heterogeneous Clients
Ethan Blaser
Chuanhao Li
Hongning Wang
FedML
216
3
0
29 Feb 2024
Genie: Smart ROS-based Caching for Connected Autonomous Robots
Zexin Li
Soroush Bateni
Cong Liu
261
1
0
29 Feb 2024
FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning
Yongcun Song
Ziqi Wang
Enrique Zuazua
FedML
277
9
0
21 Feb 2024
Random Aggregate Beamforming for Over-the-Air Federated Learning in Large-Scale Networks
Chunmei Xu
Shengheng Liu
Yongming Huang
Björn E. Ottersten
Dusist Niyato
FedML
201
4
0
20 Feb 2024
An advanced data fabric architecture leveraging homomorphic encryption and federated learning
Sakib Anwar Rieyan
Md. Raisul Kabir News
A.B.M. Muntasir Rahman
Sadia Afrin Khan
Sultan Tasneem Jawad Zaarif
Md. Golam Rabiul Alam
M. M. Hassan
Michele Ianni
Giancarlo Fortino
FedML
127
51
0
15 Feb 2024
Momentum Approximation in Asynchronous Private Federated Learning
Tao Yu
Congzheng Song
Jianyu Wang
Mona Chitnis
FedML
232
3
0
14 Feb 2024
Flashback: Understanding and Mitigating Forgetting in Federated Learning
Mohammed Aljahdali
A. Abdelmoniem
Marco Canini
Samuel Horváth
246
5
0
08 Feb 2024
Exploring the Impact of In-Browser Deep Learning Inference on Quality of User Experience and Performance
Qipeng Wang
Shiqi Jiang
Zhenpeng Chen
Xu Cao
Yuanchun Li
Aoyu Li
Ying Zhang
Xuhui Liu
Ting Cao
Xuanzhe Liu
172
0
0
08 Feb 2024
Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers
International Conference on Machine Learning (ICML), 2024
Ron Dorfman
Naseem Yehya
Kfir Y. Levy
277
5
0
05 Feb 2024
Analog-digital Scheduling for Federated Learning: A Communication-Efficient Approach
Muhammad Faraz Ul Abrar
Nicolò Michelusi
296
3
0
01 Feb 2024
Previous
1
2
3
4
5
...
19
20
21
Next
