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1812.01097
Cited By
LEAF: A Benchmark for Federated Settings
3 December 2018
S. Caldas
Sai Meher Karthik Duddu
Peter Wu
Tian Li
Jakub Konecný
H. B. McMahan
Virginia Smith
Ameet Talwalkar
FedML
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Papers citing
"LEAF: A Benchmark for Federated Settings"
50 / 286 papers shown
Title
Adaptive Latent-Space Constraints in Personalized FL
Sana Ayromlou
D. B. Emerson
FedML
49
0
0
12 May 2025
DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information
Yun Xin
Jianfeng Lu
Shuqin Cao
Gang Li
Haozhao Wang
Guanghui Wen
FedML
19
0
0
09 May 2025
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data
Ljubomir Rokvic
Panayiotis Danassis
Boi Faltings
FedML
38
0
0
05 May 2025
Towards One-shot Federated Learning: Advances, Challenges, and Future Directions
Flora Amato
Lingyu Qiu
Mohammad Tanveer
S. Cuomo
F. Giampaolo
F. Piccialli
FedML
60
0
0
05 May 2025
Incentivizing Inclusive Contributions in Model Sharing Markets
Enpei Zhang
Jingyi Chai
Rui Ye
Yanfeng Wang
Siheng Chen
TDI
FedML
144
0
0
05 May 2025
FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching
Qifan Yan
Andrew Liu
Shiqi He
Mathias Lécuyer
Ivan Beschastnikh
FedML
36
0
0
21 Apr 2025
A Client-level Assessment of Collaborative Backdoor Poisoning in Non-IID Federated Learning
Phung Lai
Guanxiong Liu
Hai Phan
Issa M. Khalil
Abdallah Khreishah
Xintao Wu
FedML
36
0
0
17 Apr 2025
A Lightweight and Secure Deep Learning Model for Privacy-Preserving Federated Learning in Intelligent Enterprises
Reza Fotohi
Fereidoon Shams Aliee
Bahar Farahani
FedML
67
1
0
03 Mar 2025
Decentralized and Robust Privacy-Preserving Model Using Blockchain-Enabled Federated Deep Learning in Intelligent Enterprises
Reza Fotohi
Fereidoon Shams Aliee
Bahar Farahani
FedML
79
8
0
18 Feb 2025
Decoding FL Defenses: Systemization, Pitfalls, and Remedies
M. A. Khan
Virat Shejwalkar
Yasra Chandio
Amir Houmansadr
Fatima M. Anwar
AAML
38
0
0
03 Feb 2025
PeFLL: Personalized Federated Learning by Learning to Learn
Jonathan Scott
Hossein Zakerinia
Christoph H. Lampert
FedML
92
7
0
17 Jan 2025
Efficient Federated Finetuning of Tiny Transformers with Resource-Constrained Devices
Kilian Pfeiffer
Mohamed Aboelenien Ahmed
R. Khalili
J. Henkel
38
0
0
12 Nov 2024
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
37
1
0
09 Oct 2024
Aiding Global Convergence in Federated Learning via Local Perturbation and Mutual Similarity Information
Emanuel Buttaci
Giuseppe Carlo Calafiore
FedML
27
0
0
07 Oct 2024
Fair Decentralized Learning
Sayan Biswas
Anne-Marie Kermarrec
Rishi Sharma
Thibaud Trinca
M. Vos
FedML
32
0
0
03 Oct 2024
Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored Clipping
Jiaxing Li
Zihan Chen
Kai Fong Ernest Chong
Bikramjit Das
Tony Q. S. Quek
Howard H. Yang
34
0
0
23 Sep 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
55
5
0
17 Sep 2024
TPFL: Tsetlin-Personalized Federated Learning with Confidence-Based Clustering
Rasoul Jafari Gohari
Laya Aliahmadipour
Ezat Valipour
FedML
32
0
0
16 Sep 2024
Buffer-based Gradient Projection for Continual Federated Learning
Shenghong Dai
Jy-yong Sohn
Yicong Chen
S. Alam
Ravikumar Balakrishnan
Suman Banerjee
N. Himayat
Kangwook Lee
FedML
75
2
0
03 Sep 2024
Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation
Jiahao Xu
Zikai Zhang
Rui Hu
44
4
0
02 Sep 2024
LiD-FL: Towards List-Decodable Federated Learning
Hong Liu
Liren Shan
Han Bao
Ronghui You
Yuhao Yi
Jiancheng Lv
FedML
38
0
0
09 Aug 2024
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness
Shengkun Zhu
Jinshan Zeng
Sheng Wang
Yuan Sun
Xiaodong Li
Yuan Yao
Zhiyong Peng
46
0
0
23 Jul 2024
A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning
Yuxin Yang
Qiang Li
Chenfei Nie
Yuan Hong
Meng Pang
Binghui Wang
AAML
FedML
37
1
0
21 Jul 2024
FedEx: Expediting Federated Learning over Heterogeneous Mobile Devices by Overlapping and Participant Selection
Jiaxiang Geng
Boyu Li
Xiaoqi Qin
Yixuan Li
Liang Li
Yanzhao Hou
Miao Pan
FedML
38
0
0
01 Jul 2024
Personalized federated learning based on feature fusion
Wolong Xing
Zhenkui Shi
Hongyan Peng
Xiantao Hu
Xianxian Li
FedML
36
0
0
24 Jun 2024
Harnessing Increased Client Participation with Cohort-Parallel Federated Learning
Akash Dhasade
Anne-Marie Kermarrec
Tuan-Anh Nguyen
Rafael Pires
M. Vos
FedML
33
0
0
24 May 2024
Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments
Mohak Chadha
Alexander Jensen
Jianfeng Gu
Osama Abboud
Michael Gerndt
31
0
0
22 Apr 2024
Collaborative Visual Place Recognition through Federated Learning
Mattia Dutto
Gabriele Berton
Debora Caldarola
Eros Fani
Gabriele Trivigno
Carlo Masone
FedML
32
1
0
20 Apr 2024
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning
Hong Lin
Lidan Shou
Ke Chen
Gang Chen
Sai Wu
30
0
0
07 Mar 2024
FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models
Younghan Lee
Yungi Cho
Woorim Han
Ho Bae
Y. Paek
FedML
AAML
27
2
0
05 Mar 2024
Federated Learning over Connected Modes
Dennis Grinwald
Philipp Wiesner
Shinichi Nakajima
FedML
45
0
0
05 Mar 2024
FedImpro: Measuring and Improving Client Update in Federated Learning
Zhenheng Tang
Yonggang Zhang
S. Shi
Xinmei Tian
Tongliang Liu
Bo Han
Xiaowen Chu
FedML
22
13
0
10 Feb 2024
Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off
Yuecheng Li
Lele Fu
Tong Wang
Jian Lou
Bin Chen
Lei Yang
Zibin Zheng
Zibin Zheng
Chuan Chen
FedML
70
4
0
10 Feb 2024
Flashback: Understanding and Mitigating Forgetting in Federated Learning
Mohammed Aljahdali
A. Abdelmoniem
Marco Canini
Samuel Horváth
31
2
0
08 Feb 2024
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning
Chu Myaet Thwal
Minh N. H. Nguyen
Ye Lin Tun
Seongjin Kim
My T. Thai
Choong Seon Hong
61
5
0
22 Jan 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
GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning
Syed Irfan Ali Meerza
Luyang Liu
Jiaxin Zhang
Jian-Dong Liu
FedML
19
2
0
07 Jan 2024
Sparse Training for Federated Learning with Regularized Error Correction
Ran Greidi
Kobi Cohen
FedML
25
1
0
21 Dec 2023
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights
Maryam Ben Driss
Essaid Sabir
H. Elbiaze
Walid Saad
30
7
0
07 Dec 2023
AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems
Chentao Jia
Ming Hu
Zekai Chen
Yanxin Yang
Xiaofei Xie
Yang Liu
Mingsong Chen
21
6
0
22 Nov 2023
Federated Learning on Edge Sensing Devices: A Review
Berrenur Saylam
Ozlem Durmaz Incel
31
1
0
02 Nov 2023
MetisFL: An Embarrassingly Parallelized Controller for Scalable & Efficient Federated Learning Workflows
Dimitris Stripelis
Chrysovalantis Anastasiou
Patrick Toral
Armaghan Asghar
J. Ambite
29
1
0
01 Nov 2023
Distributed Personalized Empirical Risk Minimization
Yuyang Deng
Mohammad Mahdi Kamani
Pouria Mahdavinia
M. Mahdavi
31
4
0
26 Oct 2023
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning
Mingjia Shi
Yuhao Zhou
Kai Wang
Huaizheng Zhang
Shudong Huang
Qing Ye
Jiangcheng Lv
26
9
0
13 Oct 2023
Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization
Xinyu Zhang
Weiyu Sun
Ying Chen
FedML
30
5
0
13 Sep 2023
EdgeFL: A Lightweight Decentralized Federated Learning Framework
Hongyi Zhang
Jan Bosch
Helena Holmström Olsson
FedML
13
1
0
06 Sep 2023
Rethinking Client Drift in Federated Learning: A Logit Perspective
Yu-bao Yan
Chun-Mei Feng
Senior Member Ieee Wangmeng Zuo Senior Member Ieee Mang Ye
Mong Goh
Ping Li
Rick Siow
Lei Zhu
F. I. C. L. Philip Chen
FedML
39
8
0
20 Aug 2023
FLIPS: Federated Learning using Intelligent Participant Selection
R. Bhope
K. R. Jayaram
N. Venkatasubramanian
Ashish Verma
Gegi Thomas
FedML
29
3
0
07 Aug 2023
Scaling Survival Analysis in Healthcare with Federated Survival Forests: A Comparative Study on Heart Failure and Breast Cancer Genomics
Alberto Archetti
F. Ieva
Matteo Matteucci
FedML
17
10
0
04 Aug 2023
Asynchronous Federated Learning with Bidirectional Quantized Communications and Buffered Aggregation
Tomàs Ortega
Hamid Jafarkhani
FedML
28
6
0
01 Aug 2023
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