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2204.05011
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FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
11 April 2022
Yuexiang Xie
Zhen Wang
Dawei Gao
Daoyuan Chen
Liuyi Yao
Weirui Kuang
Yaliang Li
Bolin Ding
Jingren Zhou
FedML
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Papers citing
"FederatedScope: A Flexible Federated Learning Platform for Heterogeneity"
24 / 24 papers shown
Title
Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures
Yicheng Zhang
Zhen Qin
Zhaomin Wu
Jian Hou
Shuiguang Deng
80
2
0
28 Nov 2024
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework
Zilinghan Li
Shilan He
Ze Yang
Minseok Ryu
Kibaek Kim
Ravi K. Madduri
FedML
63
7
0
17 Sep 2024
From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare
Ming Li
Pengcheng Xu
Junjie Hu
Zeyu Tang
Guang Yang
FedML
48
1
0
15 Sep 2024
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model
Feijie Wu
Zitao Li
Yaliang Li
Bolin Ding
Jing Gao
34
42
0
25 Jun 2024
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach
Mahrokh Ghoddousi Boroujeni
Andreas Krause
Giancarlo Ferrari-Trecate
FedML
32
3
0
16 Jan 2024
Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx
Trung-Hieu Hoang
Jordan D. Fuhrman
Ravi K. Madduri
Miao Li
Pranshu Chaturvedi
...
Kibaek Kim
Minseok Ryu
Ryan Chard
Eliu A. Huerta
Maryellen L. Giger
39
5
0
14 Dec 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
Weiming Zhuang
Chen Chen
Lingjuan Lyu
Chong Chen
Yaochu Jin
Lingjuan Lyu
AIFin
AI4CE
99
86
0
27 Jun 2023
HPN: Personalized Federated Hyperparameter Optimization
Anda Cheng
Zhen Wang
Yaliang Li
Jianwei Cheng
32
1
0
11 Apr 2023
FS-Real: Towards Real-World Cross-Device Federated Learning
Daoyuan Chen
Dawei Gao
Yuexiang Xie
Xuchen Pan
Zitao Li
Yaliang Li
Bolin Ding
Jingren Zhou
117
26
0
23 Mar 2023
FedML Parrot: A Scalable Federated Learning System via Heterogeneity-aware Scheduling on Sequential and Hierarchical Training
Zhenheng Tang
Xiaowen Chu
Ryan Yide Ran
Sunwoo Lee
S. Shi
Yonggang Zhang
Yuxin Wang
Alex Liang
A. Avestimehr
Chaoyang He
FedML
23
10
0
03 Mar 2023
FederatedTrust: A Solution for Trustworthy Federated Learning
Pedro Miguel Sánchez Sánchez
Alberto Huertas Celdrán
Ning Xie
Gérome Bovet
Gregorio Martínez Pérez
Burkhard Stiller
36
21
0
20 Feb 2023
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks
Zeyu Qin
Liuyi Yao
Daoyuan Chen
Yaliang Li
Bolin Ding
Minhao Cheng
FedML
38
25
0
03 Feb 2023
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
40
223
0
15 Nov 2022
UniFed: All-In-One Federated Learning Platform to Unify Open-Source Frameworks
Xiaoyuan Liu
Tianneng Shi
Chulin Xie
Qinbin Li
Kangping Hu
...
The-Anh Vu-Le
Zhen Huang
Arash Nourian
Bo-wen Li
D. Song
FedML
32
8
0
21 Jul 2022
WrapperFL: A Model Agnostic Plug-in for Industrial Federated Learning
Xueyang Wu
S. Tan
Qian Xu
Qiang Yang
FedML
22
2
0
21 Jun 2022
FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization
Zhen Wang
Weirui Kuang
Ce Zhang
Bolin Ding
Yaliang Li
FedML
31
13
0
08 Jun 2022
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning
Daoyuan Chen
Dawei Gao
Weirui Kuang
Yaliang Li
Bolin Ding
FedML
37
64
0
08 Jun 2022
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning
Zhen Wang
Weirui Kuang
Yuexiang Xie
Liuyi Yao
Yaliang Li
Bolin Ding
Jingren Zhou
FedML
21
77
0
12 Apr 2022
Papaya: Practical, Private, and Scalable Federated Learning
Dzmitry Huba
John Nguyen
Kshitiz Malik
Ruiyu Zhu
Michael G. Rabbat
...
H. Srinivas
Kaikai Wang
Anthony Shoumikhin
Jesik Min
Mani Malek
FedML
113
137
0
08 Nov 2021
A Field Guide to Federated Optimization
Jianyu Wang
Zachary B. Charles
Zheng Xu
Gauri Joshi
H. B. McMahan
...
Mi Zhang
Tong Zhang
Chunxiang Zheng
Chen Zhu
Wennan Zhu
FedML
187
412
0
14 Jul 2021
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
209
846
0
01 Mar 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
168
790
0
15 Feb 2021
Federated Bayesian Optimization via Thompson Sampling
Zhongxiang Dai
K. H. Low
Patrick Jaillet
FedML
89
111
0
20 Oct 2020
FedML: A Research Library and Benchmark for Federated Machine Learning
Chaoyang He
Songze Li
Jinhyun So
Xiao Zeng
Mi Zhang
...
Yang Liu
Ramesh Raskar
Qiang Yang
M. Annavaram
Salman Avestimehr
FedML
168
566
0
27 Jul 2020
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