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Federated Learning from Small Datasets
v1v2v3 (latest)

Federated Learning from Small Datasets

7 October 2021
Michael Kamp
Jonas Fischer
Jilles Vreeken
    FedML
ArXiv (abs)PDFHTML

Papers citing "Federated Learning from Small Datasets"

11 / 11 papers shown
Title
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data
Pei-Yau Weng
Minh Hoang
Lam M. Nguyen
My T. Thai
Tsui-Wei Weng
T. Hoang
FedML
331
10
0
27 Feb 2025
One-Shot Sequential Federated Learning for Non-IID Data by Enhancing
  Local Model Diversity
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
248
14
0
18 Apr 2024
SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained
  Learnable Masks
SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks
Peishen Yan
Hao Wang
Tao Song
Yang Hua
Ruhui Ma
Ningxin Hu
M. Haghighat
Haibing Guan
AAMLFedML
154
4
0
19 Dec 2023
Factor-Assisted Federated Learning for Personalized Optimization with Heterogeneous Data
Factor-Assisted Federated Learning for Personalized Optimization with Heterogeneous Data
Feifei Wang
Huiyun Tang
Yang Li
FedML
214
2
0
07 Dec 2023
PPFL: A Personalized Federated Learning Framework for Heterogeneous Population
PPFL: A Personalized Federated Learning Framework for Heterogeneous PopulationINFORMS journal on computing (IJOC), 2023
Hao Di
Yi Yang
Haishan Ye
Xiangyu Chang
FedML
224
2
0
22 Oct 2023
Little is Enough: Improving Privacy by Sharing Labels in Federated
  Semi-Supervised Learning
Little is Enough: Improving Privacy by Sharing Labels in Federated Semi-Supervised LearningAAAI Conference on Artificial Intelligence (AAAI), 2023
Amr Abourayya
Jens Kleesiek
Kanishka Rao
Erman Ayday
Bharat Rao
Geoff Webb
Michael Kamp
FedML
240
1
0
09 Oct 2023
Keep It Simple: Fault Tolerance Evaluation of Federated Learning with
  Unreliable Clients
Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable ClientsIEEE International Conference on Cloud Computing (CLOUD), 2023
Victoria Huang
S. Sohail
Michael Mayo
T. Lorido-Botran
Mark Rodrigues
Chris Anderson
Melanie Ooi
FedML
176
3
0
16 May 2023
A Privacy Preserving System for Movie Recommendations Using Federated
  Learning
A Privacy Preserving System for Movie Recommendations Using Federated Learning
David Neumann
Andreas Lutz
Karsten Müller
Wojciech Samek
245
16
0
07 Mar 2023
FedDBL: Communication and Data Efficient Federated Deep-Broad Learning
  for Histopathological Tissue Classification
FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue ClassificationIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2023
Tianpeng Deng
Yanqi Huang
Guoqiang Han
Zhenwei Shi
Jiatai Lin
Qianming Dou
Zaiyi Liu
Xiaohui Guo
Xin Chen
Chu Han
FedML
220
10
0
24 Feb 2023
Federated Learning and Meta Learning: Approaches, Applications, and
  Directions
Federated Learning and Meta Learning: Approaches, Applications, and DirectionsIEEE Communications Surveys and Tutorials (COMST), 2022
Xiaonan Liu
Yansha Deng
Arumugam Nallanathan
M. Bennis
317
60
0
24 Oct 2022
VerifyTL: Secure and Verifiable Collaborative Transfer Learning
VerifyTL: Secure and Verifiable Collaborative Transfer Learning
Zhuo Ma
Jianfeng Ma
Yinbin Miao
Ximeng Liu
Wei Zheng
K. Choo
R. Deng
AAML
101
3
0
18 May 2020
1