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2505.02540
Cited By
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data
5 May 2025
Ljubomir Rokvic
Panayiotis Danassis
Boi Faltings
FedML
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Papers citing
"Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data"
44 / 44 papers shown
PeFLL: Personalized Federated Learning by Learning to Learn
International Conference on Learning Representations (ICLR), 2023
Jonathan Scott
Hossein Zakerinia
Christoph H. Lampert
FedML
652
32
0
17 Jan 2025
Personalized Federated Learning with Feature Alignment and Classifier Collaboration
International Conference on Learning Representations (ICLR), 2023
Jian Xu
Xin-Yi Tong
Shao-Lun Huang
FedML
226
156
0
20 Jun 2023
pFedSim: Similarity-Aware Model Aggregation Towards Personalized Federated Learning
Jiahao Tan
Yipeng Zhou
Gang Liu
Jessie Hui Wang
Shui Yu
FedML
166
25
0
25 May 2023
MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Yiqiang Chen
Wang Lu
Xin Qin
Yongfeng Zhang
Xing Xie
FedML
343
93
0
17 Jun 2022
LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation
BigData Congress [Services Society] (BSS), 2022
Ljubomir Rokvic
Panayiotis Danassis
Sai Praneeth Karimireddy
Boi Faltings
TDI
277
3
0
23 May 2022
Layer-wised Model Aggregation for Personalized Federated Learning
Computer Vision and Pattern Recognition (CVPR), 2022
Xiaosong Ma
Jie Zhang
Song Guo
Wenchao Xu
FedML
260
244
0
09 May 2022
FedREP: Towards Horizontal Federated Load Forecasting for Retail Energy Providers
IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2022
Muhammad Akbar Husnoo
A. Anwar
N. Hosseinzadeh
S. Islam
A. N. Mahmood
R. Doss
309
37
0
01 Mar 2022
Flexible Clustered Federated Learning for Client-Level Data Distribution Shift
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2021
Moming Duan
Duo Liu
Xinyuan Ji
Yu Wu
Liang Liang
Xianzhang Chen
Yujuan Tan
FedML
OOD
181
138
0
22 Aug 2021
Multi-Center Federated Learning: Clients Clustering for Better Personalization
Guodong Long
Ming Xie
Tao Shen
Wanrong Zhu
Xianzhi Wang
Jing Jiang
Chengqi Zhang
FedML
368
334
0
19 Aug 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
506
461
0
14 Jul 2021
FedBABU: Towards Enhanced Representation for Federated Image Classification
International Conference on Learning Representations (ICLR), 2021
Jaehoon Oh
Sangmook Kim
Se-Young Yun
FedML
358
288
0
04 Jun 2021
Data-Free Knowledge Distillation for Heterogeneous Federated Learning
International Conference on Machine Learning (ICML), 2021
Zhuangdi Zhu
Junyuan Hong
Jiayu Zhou
FedML
350
882
0
20 May 2021
FedProto: Federated Prototype Learning across Heterogeneous Clients
AAAI Conference on Artificial Intelligence (AAAI), 2021
Yue Tan
Guodong Long
Lu Liu
Tianyi Zhou
Qinghua Lu
Jing Jiang
Chengqi Zhang
FedML
622
711
0
01 May 2021
Personalized Federated Learning using Hypernetworks
International Conference on Machine Learning (ICML), 2021
Aviv Shamsian
Aviv Navon
Ethan Fetaya
Gal Chechik
FedML
391
414
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
688
1,106
0
01 Mar 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
International Conference on Learning Representations (ICLR), 2021
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
830
1,053
0
15 Feb 2021
Toward Understanding the Influence of Individual Clients in Federated Learning
AAAI Conference on Artificial Intelligence (AAAI), 2020
Yihao Xue
Chaoyue Niu
Zhenzhe Zheng
Shaojie Tang
Chengfei Lv
Fan Wu
Guihai Chen
FedML
366
43
0
20 Dec 2020
Personalized Federated Learning with First Order Model Optimization
International Conference on Learning Representations (ICLR), 2020
Michael Zhang
Karan Sapra
Sanja Fidler
Serena Yeung
J. Álvarez
FedML
328
377
0
15 Dec 2020
Dynamic Clustering in Federated Learning
Yeongwoo Kim
Ezeddin Al Hakim
Johan Haraldson
Henrik Eriksson
J. M. B. D. Silva
Carlo Fischione
203
82
0
07 Dec 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
620
658
0
27 Jul 2020
Personalized Federated Learning with Moreau Envelopes
Canh T. Dinh
N. H. Tran
Tuan Dung Nguyen
FedML
384
1,243
0
16 Jun 2020
A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages
Annual Meeting of the Association for Computational Linguistics (ACL), 2020
Pedro Ortiz Suarez
Laurent Romary
Benoît Sagot
253
261
0
11 Jun 2020
An Efficient Framework for Clustered Federated Learning
Avishek Ghosh
Jichan Chung
Dong Yin
Kannan Ramchandran
FedML
385
1,088
0
07 Jun 2020
Federated learning with hierarchical clustering of local updates to improve training on non-IID data
IEEE International Joint Conference on Neural Network (IJCNN), 2020
Christopher Briggs
Zhong Fan
Péter András
FedML
213
700
0
24 Apr 2020
Adaptive Personalized Federated Learning
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
663
649
0
30 Mar 2020
Three Approaches for Personalization with Applications to Federated Learning
Yishay Mansour
M. Mohri
Jae Hun Ro
A. Suresh
FedML
404
633
0
25 Feb 2020
Federated Learning of a Mixture of Global and Local Models
Filip Hanzely
Peter Richtárik
FedML
335
426
0
10 Feb 2020
A Survey on Distributed Machine Learning
ACM Computing Surveys (ACM CSUR), 2019
Joost Verbraeken
Matthijs Wolting
Jonathan Katzy
Jeroen Kloppenburg
Tim Verbelen
Jan S. Rellermeyer
OOD
282
818
0
20 Dec 2019
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
627
7,525
0
10 Dec 2019
Federated Learning with Personalization Layers
Manoj Ghuhan Arivazhagan
V. Aggarwal
Aaditya Kumar Singh
Sunav Choudhary
FedML
343
1,089
0
02 Dec 2019
FedMD: Heterogenous Federated Learning via Model Distillation
Daliang Li
Junpu Wang
FedML
308
1,039
0
08 Oct 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
469
1,253
0
04 Oct 2019
The Non-IID Data Quagmire of Decentralized Machine Learning
International Conference on Machine Learning (ICML), 2019
Kevin Hsieh
Amar Phanishayee
O. Mutlu
Phillip B. Gibbons
469
638
0
01 Oct 2019
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification
T. Hsu
Qi
Matthew Brown
FedML
498
1,451
0
13 Sep 2019
Federated Learning Of Out-Of-Vocabulary Words
Mingqing Chen
Rajiv Mathews
Tom Y. Ouyang
F. Beaufays
FedML
225
177
0
26 Mar 2019
Federated Optimization in Heterogeneous Networks
Tian Li
Anit Kumar Sahu
Manzil Zaheer
Maziar Sanjabi
Ameet Talwalkar
Virginia Smith
FedML
974
6,747
0
14 Dec 2018
LEAF: A Benchmark for Federated Settings
S. Caldas
Sai Meher Karthik Duddu
Peter Wu
Tian Li
Jakub Konecný
H. B. McMahan
Virginia Smith
Ameet Talwalkar
FedML
518
1,620
0
03 Dec 2018
Federated Learning for Mobile Keyboard Prediction
Andrew Straiton Hard
Kanishka Rao
Zhifeng Lin
Swaroop Indra Ramaswamy
Youjie Li
S. Augenstein
Alex Schwing
M. Annavaram
A. Avestimehr
FedML
615
1,713
0
08 Nov 2018
Federated Learning with Non-IID Data
Yue Zhao
Meng Li
Liangzhen Lai
Naveen Suda
Damon Civin
Vikas Chandra
FedML
537
2,989
0
02 Jun 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
1.3K
10,025
0
25 Aug 2017
Federated Multi-Task Learning
Neural Information Processing Systems (NeurIPS), 2017
Virginia Smith
Chao-Kai Chiang
Maziar Sanjabi
Ameet Talwalkar
FedML
608
2,020
0
30 May 2017
Understanding Black-box Predictions via Influence Functions
Pang Wei Koh
Abigail Z. Jacobs
TDI
518
3,296
0
14 Mar 2017
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
1.5K
21,707
0
17 Feb 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
3.7K
217,209
0
10 Dec 2015
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