Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2410.19321
Cited By
v1
v2
v3 (latest)
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning
Neural Information Processing Systems (NeurIPS), 2024
25 October 2024
Mengmeng Chen
Xiaohu Wu
Xiaoli Tang
Tiantian He
Yew-Soon Ong
Qiqi Liu
Qicheng Lao
Han Yu
FedML
Re-assign community
ArXiv (abs)
PDF
HTML
Github
Papers citing
"Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning"
33 / 33 papers shown
Research in Collaborative Learning Does Not Serve Cross-Silo Federated Learning in Practice
Kevin Kuo
Chhavi Yadav
Virginia Smith
FedML
209
1
0
14 Oct 2025
A Coopetitive-Compatible Data Generation Framework for Cross-silo Federated Learning
Thanh Linh Nguyen
Quoc-Viet Pham
FedML
107
0
0
10 Sep 2025
From Privacy to Trust in the Agentic Era: A Taxonomy of Challenges in Trustworthy Federated Learning Through the Lens of Trust Report 2.0
Nuria Rodríguez-Barroso
Mario García-Márquez
M. V. Luzón
Francisco Herrera
FedML
226
3
0
21 Jul 2025
Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning
Mengmeng Chen
Xiaohu Wu
Qiqi Liu
Tiantian He
Yew-Soon Ong
Yaochu Jin
Qicheng Lao
Han Yu
272
1
0
27 May 2025
Personalized Federated Learning via Learning Dynamic Graphs
Ziran Zhou
Guanyu Gao
Xiaohu Wu
Yan Lyu
FedML
306
3
0
07 Mar 2025
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning
Zhilong Li
Xiaohu Wu
Xiaoli Tang
Tiantian He
Yew-Soon Ong
Mengmeng Chen
Qiqi Liu
Qicheng Lao
Han Yu
FedML
357
5
0
09 Oct 2024
FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants
Shanli Tan
Hao Cheng
Xiaohu Wu
Han Yu
Tiantian He
Yew-Soon Ong
Chongjun Wang
Xiaofeng Tao
FedML
203
8
0
18 Dec 2023
FedDisco: Federated Learning with Discrepancy-Aware Collaboration
International Conference on Machine Learning (ICML), 2023
Rui Ye
Mingkai Xu
Jianyu Wang
Chenxin Xu
Siheng Chen
Yanfeng Wang
FedML
236
128
0
30 May 2023
Strategic Data Sharing between Competitors
Neural Information Processing Systems (NeurIPS), 2023
Nikita Tsoy
Nikola Konstantinov
FedML
346
12
0
25 May 2023
FedALA: Adaptive Local Aggregation for Personalized Federated Learning
AAAI Conference on Artificial Intelligence (AAAI), 2022
Jianqing Zhang
Yang Hua
Hao Wang
Tao Song
Zhengui Xue
Ruhui Ma
Haibing Guan
FedML
510
423
0
02 Dec 2022
Fairness in Federated Learning via Core-Stability
Neural Information Processing Systems (NeurIPS), 2022
Bhaskar Chaudhury
Linyi Li
Mintong Kang
Yue Liu
R. Mehta
FedML
201
42
0
03 Nov 2022
Industry-Scale Orchestrated Federated Learning for Drug Discovery
AAAI Conference on Artificial Intelligence (AAAI), 2022
M. Oldenhof
G. Ács
Balázs Pejó
A. Schuffenhauer
Nicholas Holway
...
Yves Moreau
Ola Engkvist
Hugo Ceulemans
Camille Marini
M. Galtier
FedML
518
63
0
17 Oct 2022
Mechanisms that Incentivize Data Sharing in Federated Learning
Sai Praneeth Karimireddy
Wenshuo Guo
Michael I. Jordan
FedML
244
64
0
10 Jul 2022
Towards the Practical Utility of Federated Learning in the Medical Domain
ACM Conference on Health, Inference, and Learning (ACM CHIL), 2022
Seongjun Yang
Hyeonji Hwang
Daeyoung Kim
Radhika Dua
Jong-Yeup Kim
Eunho Yang
Edward Choi
FedML
OOD
597
23
0
07 Jul 2022
On Privacy and Personalization in Cross-Silo Federated Learning
Neural Information Processing Systems (NeurIPS), 2022
Ziyu Liu
Shengyuan Hu
Zhiwei Steven Wu
Virginia Smith
FedML
377
74
0
16 Jun 2022
MarS-FL: Enabling Competitors to Collaborate in Federated Learning
Xiaohu Wu
Han Yu
267
26
0
26 Oct 2021
Federated Learning for Open Banking
Guodong Long
Yue Tan
Jing Jiang
Chengqi Zhang
AIFin
FedML
316
359
0
24 Aug 2021
Collaboration Equilibrium in Federated Learning
Sen Cui
Jian Liang
Weishen Pan
Kun Chen
Changshui Zhang
Fei Wang
FedML
232
33
0
18 Aug 2021
Personalized Federated Learning using Hypernetworks
International Conference on Machine Learning (ICML), 2021
Aviv Shamsian
Aviv Navon
Ethan Fetaya
Gal Chechik
FedML
553
441
0
08 Mar 2021
Towards Personalized Federated Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
856
1,194
0
01 Mar 2021
Learning Conjoint Attentions for Graph Neural Nets
Neural Information Processing Systems (NeurIPS), 2021
Tiantian He
Yew-Soon Ong
Lu Bai
GNN
355
80
0
05 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study
IEEE International Conference on Data Engineering (ICDE), 2021
Yue Liu
Yiqun Diao
Quan Chen
Bingsheng He
FedML
OOD
707
1,362
0
03 Feb 2021
Learning the Pareto Front with Hypernetworks
Aviv Navon
Aviv Shamsian
Gal Chechik
Ethan Fetaya
518
183
0
08 Oct 2020
Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation
AAAI Conference on Artificial Intelligence (AAAI), 2020
Kate Donahue
Jon M. Kleinberg
FedML
375
95
0
02 Oct 2020
Personalized Federated Learning with Moreau Envelopes
Canh T. Dinh
N. H. Tran
Tuan Dung Nguyen
FedML
440
1,320
0
16 Jun 2020
Byzantine-resilient Decentralized Stochastic Gradient Descent
Shangwei Guo
Tianwei Zhang
Hanzhou Yu
Xiaofei Xie
Lei Ma
Tao Xiang
Yang Liu
283
69
0
20 Feb 2020
Advances and Open Problems in Federated Learning
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
...
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
FedML
AI4CE
767
8,118
0
10 Dec 2019
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Felix Sattler
K. Müller
Wojciech Samek
FedML
559
1,337
0
04 Oct 2019
A Framework for Allocating Server Time to Spot and On-demand Services in Cloud Computing
Xiaohu Wu
F. Pellegrini
Guanyu Gao
G. Casale
AI4TS
250
14
0
04 Feb 2019
Federated Optimization in Heterogeneous Networks
Tian Li
Anit Kumar Sahu
Manzil Zaheer
Maziar Sanjabi
Ameet Talwalkar
Virginia Smith
FedML
1.1K
7,393
0
14 Dec 2018
Attention Is All You Need
Neural Information Processing Systems (NeurIPS), 2017
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
8.3K
171,167
0
12 Jun 2017
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
973
12,209
0
21 Jul 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
1.8K
23,263
0
17 Feb 2016
1
Page 1 of 1
