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2012.08565
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Personalized Federated Learning with First Order Model Optimization
International Conference on Learning Representations (ICLR), 2020
15 December 2020
Michael Zhang
Karan Sapra
Sanja Fidler
Serena Yeung
J. Álvarez
FedML
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Papers citing
"Personalized Federated Learning with First Order Model Optimization"
50 / 181 papers shown
FedeCouple: Fine-Grained Balancing of Global-Generalization and Local-Adaptability in Federated Learning
IEEE Transactions on Mobile Computing (IEEE TMC), 2025
M. Yang
Dongrun Li
Xin Wang
Feng Li
Lisheng Fan
Chunxiao Wang
Xiaoming Wu
Peng Cheng
100
0
0
12 Nov 2025
Local Performance vs. Out-of-Distribution Generalization: An Empirical Analysis of Personalized Federated Learning in Heterogeneous Data Environments
Mortesa Hussaini
Jan Theiß
Anthony Stein
FedML
OOD
222
0
0
28 Oct 2025
Sentinel: Dynamic Knowledge Distillation for Personalized Federated Intrusion Detection in Heterogeneous IoT Networks
Gurpreet Singh
Keshav Sood
P. Rajalakshmi
Yong Xiang
187
0
0
27 Oct 2025
Locally Optimal Private Sampling: Beyond the Global Minimax
Hrad Ghoukasian
Bonwoo Lee
S. Asoodeh
168
0
0
10 Oct 2025
Technical note on Fisher Information for Robust Federated Cross-Validation
Behraj Khan
T. Syed
FedML
195
0
0
04 Oct 2025
FedDAF: Federated Domain Adaptation Using Model Functional Distance
Mrinmay Sen
Ankita Das
Sidhant R Nair
C Krishna Mohan
247
0
0
15 Sep 2025
FedKLPR: KL-Guided Pruning-Aware Federated Learning for Person Re-Identification
Po-Hsien Yu
Yu-Syuan Tseng
Shao-Yi Chien
VLM
188
0
0
24 Aug 2025
Deploying Models to Non-participating Clients in Federated Learning without Fine-tuning: A Hypernetwork-based Approach
Yuhao Zhou
Jindi Lv
Yuxin Tian
Dan Si
Qing Ye
Jiancheng Lv
FedML
204
0
0
18 Aug 2025
FedShard: Federated Unlearning with Efficiency Fairness and Performance Fairness
Siyuan Wen
Meng Zhang
Yang Yang
Ningning Ding
FedML
MU
301
0
0
13 Aug 2025
pFedDSH: Enabling Knowledge Transfer in Personalized Federated Learning through Data-free Sub-Hypernetwork
Thinh Nguyen
Le Huy Khiem
Van Tuan Tran
Khoa D. Doan
Nitesh Chawla
Kok-Seng Wong
FedML
240
0
0
07 Aug 2025
FeDaL: Federated Dataset Learning for General Time Series Foundation Models
Shengchao Chen
Guodong Long
Jing Jiang
Jing Jiang
FedML
DD
AI4TS
AI4CE
TTA
259
0
0
06 Aug 2025
pFedMMA: Personalized Federated Fine-Tuning with Multi-Modal Adapter for Vision-Language Models
Sajjad Ghiasvand
Mahnoosh Alizadeh
Ramtin Pedarsani
VLM
366
1
0
07 Jul 2025
Whom to Trust? Adaptive Collaboration in Personalized Federated Learning
Amr Abourayya
Jens Kleesiek
Bharat Rao
Michael Kamp
FedML
415
0
0
30 Jun 2025
Client Clustering Meets Knowledge Sharing: Enhancing Privacy and Robustness in Personalized Peer-to-Peer Learning
Mohammad Maheri
Denys Herasymuk
Hamed Haddadi
229
0
0
25 Jun 2025
pFedSOP : Accelerating Training Of Personalized Federated Learning Using Second-Order Optimization
Mrinmay Sen
C Krishna Mohan
235
0
0
08 Jun 2025
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data
Ljubomir Rokvic
Panayiotis Danassis
Boi Faltings
FedML
493
1
0
05 May 2025
Incentivizing Inclusive Contributions in Model Sharing Markets
Nature Communications (Nat Commun), 2025
Enpei Zhang
Jingyi Chai
Guangyi Liu
Yanfeng Wang
Siheng Chen
TDI
FedML
995
3
0
05 May 2025
Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning
Md. Tanzib Hosain
Asif Zaman
Md. Shahriar Sajid
Shadman Sakeeb Khan
Shanjida Akter
305
12
0
03 May 2025
DP2FL: Dual Prompt Personalized Federated Learning in Foundation Models
Scientific Reports (Sci Rep), 2025
Ying Chang
Xiaohu Shi
Xiaohui Zhao
Zhaohuang Chen
Deyin Ma
VLM
218
4
0
23 Apr 2025
Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions
Chaoyue Niu
Yucheng Ding
Junhui Lu
Zhengxiang Huang
Hang Zeng
Yutong Dai
Xuezhen Tu
Chengfei Lv
Fan Wu
Guihai Chen
371
2
0
17 Apr 2025
FedEPA: Enhancing Personalization and Modality Alignment in Multimodal Federated Learning
International Conference on Intelligent Computing (ICIC), 2025
Yu Zhang
Qingfeng Du
Jiaqi Lv
254
2
0
16 Apr 2025
Federated Hierarchical Reinforcement Learning for Adaptive Traffic Signal Control
Yongjie Fu
Lingyun Zhong
Zifan Li
Xuan Di
290
4
0
07 Apr 2025
Extra Clients at No Extra Cost: Overcome Data Heterogeneity in Federated Learning with Filter Decomposition
Wei Chen
Qiang Qiu
FedML
492
1
0
11 Mar 2025
Capture Global Feature Statistics for One-Shot Federated Learning
AAAI Conference on Artificial Intelligence (AAAI), 2025
Zenghao Guan
Yucan Zhou
Xiaoyan Gu
FedML
367
9
0
10 Mar 2025
Chemical knowledge-informed framework for privacy-aware retrosynthesis learning
Nature Communications (Nat Commun), 2025
Guikun Chen
Xu Zhang
Yue Yang
Yong Liu
Yi Yang
Wenguan Wang
350
0
0
26 Feb 2025
Federated Source-free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Junki Mori
Kosuke Kihara
Taiki Miyagawa
Akinori F. Ebihara
Isamu Teranishi
Hisashi Kashima
421
2
0
18 Dec 2024
Optimizing Personalized Federated Learning through Adaptive Layer-Wise Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2024
Weihang Chen
Jie Ren
Zhiqiang Li
Ling Gao
Zehao Wang
AI4CE
523
1
0
10 Dec 2024
FedAH: Aggregated Head for Personalized Federated Learning
Pengzhan Zhou
Yuepeng He
Yijun Zhai
Kaixin Gao
Chao Chen
Zhida Qin
Chong Zhang
Songtao Guo
FedML
332
2
0
02 Dec 2024
FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction
IEEE Transactions on Cloud Computing (TCC), 2024
Yuepeng He
Pengzhan Zhou
Yijun Zhai
Fang Qu
Zhida Qin
Mingyan Li
Songtao Guo
276
8
0
02 Dec 2024
Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture
Mohamad Haj Fares
Ahmed Mohamed Saad Emam Saad
OOD
MedIm
313
15
0
01 Dec 2024
FedAli: Personalized Federated Learning Alignment with Prototype Layers for Generalized Mobile Services
Sannara Ek
Kaile Wang
François Portet
P. Lalanda
Jiannong Cao
FedML
439
0
0
15 Nov 2024
Towards Personalized Federated Learning via Comprehensive Knowledge Distillation
IEEE International Conference on Systems, Man and Cybernetics (SMC), 2024
Peng Wang
Bochao Liu
Weijia Guo
Yong Li
Shiming Ge
FedML
256
4
0
06 Nov 2024
Personalized Federated Learning via Feature Distribution Adaptation
Neural Information Processing Systems (NeurIPS), 2024
Connor Mclaughlin
Lili Su
FedML
OOD
442
26
0
01 Nov 2024
Federated Black-Box Adaptation for Semantic Segmentation
Neural Information Processing Systems (NeurIPS), 2024
Jay N. Paranjape
S. Sikder
S. Vedula
Vishal M. Patel
FedML
301
3
0
31 Oct 2024
Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning
Neural Information Processing Systems (NeurIPS), 2024
Minghui Chen
Meirui Jiang
Xin Zhang
Qi Dou
Zehua Wang
Xiaoxiao Li
MoMe
FedML
405
7
0
31 Oct 2024
Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift
Neural Information Processing Systems (NeurIPS), 2024
Jianfei Chen
Jingfeng Xue
Yanjie Wang
Zhenyan Liu
Lu Huang
FedML
247
18
0
24 Oct 2024
Personalized Federated Learning with Adaptive Feature Aggregation and Knowledge Transfer
Keting Yin
Jiayi Mao
320
3
0
19 Oct 2024
FedPAE: Peer-Adaptive Ensemble Learning for Asynchronous and Model-Heterogeneous Federated Learning
BigData Congress [Services Society] (BSS), 2024
Brianna Mueller
W. Street
Stephen Seung-Yeob Baek
Qihang Lin
Jingyi Yang
Yankun Huang
253
1
0
17 Oct 2024
FedCAP: Robust Federated Learning via Customized Aggregation and Personalization
Asia-Pacific Computer Systems Architecture Conference (ACSA), 2024
Youpeng Li
Xiang Wang
Fuxun Yu
Lichao Sun
Wenbin Zhang
Xuyu Wang
FedML
791
2
0
16 Oct 2024
TPFL: A Trustworthy Personalized Federated Learning Framework via Subjective Logic
Jinqian Chen
Jihua Zhu
457
1
0
16 Oct 2024
Boosting the Performance of Decentralized Federated Learning via Catalyst Acceleration
Qinglun Li
Miao Zhang
Yingqi Liu
Quanjun Yin
Li Shen
Xiaochun Cao
FedML
301
2
0
09 Oct 2024
OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement
Qinglun Li
Miao Zhang
Mengzhu Wang
Quanjun Yin
Li Shen
OODD
FedML
259
1
0
09 Oct 2024
Communication-Efficient Federated Group Distributionally Robust Optimization
Neural Information Processing Systems (NeurIPS), 2024
Zhishuai Guo
Tianbao Yang
FedML
399
2
0
08 Oct 2024
Federated brain tumor segmentation: an extensive benchmark
Matthis Manthe
Stefan Duffner
Carole Lartizien
OOD
FedML
355
18
0
07 Oct 2024
Fair Decentralized Learning
Sayan Biswas
Anne-Marie Kermarrec
Rishi Sharma
Thibaud Trinca
M. Vos
FedML
589
2
0
03 Oct 2024
Personalized Federated Learning Techniques: Empirical Analysis
BigData Congress [Services Society] (BSS), 2024
Azal Ahmad Khan
Ahmad Faraz Khan
Haider Ali
A. Anwar
FedML
319
4
0
10 Sep 2024
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
AAAI Conference on Artificial Intelligence (AAAI), 2024
Jiahao Lai
Jiaqiang Li
Jian Xu
Yanru Wu
Boshi Tang
Siqi Chen
Yongfeng Huang
Wenbo Ding
Yang Li
FedML
433
2
0
09 Sep 2024
DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism
International Conference on Information and Knowledge Management (CIKM), 2024
Xiaoyan Yu
Yifan Wei
Pu Li
Shuaishuai Zhou
Hao Peng
Li Sun
Liehuang Zhu
Philip S. Yu
FedML
327
3
0
01 Sep 2024
FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization
International Conference on Parallel and Distributed Systems (ICPADS), 2024
Qianyi Zhao
Chen Qu
Cen Chen
Mingyuan Fan
Yanhao Wang
390
3
0
28 Aug 2024
The Diversity Bonus: Learning from Dissimilar Distributed Clients in Personalized Federated Learning
Xinghao Wu
Xuefeng Liu
Jianwei Niu
Guogang Zhu
Shaojie Tang
Xiaotian Li
Jiannong Cao
FedML
298
3
0
22 Jul 2024
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