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2002.04758
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Salvaging Federated Learning by Local Adaptation
12 February 2020
Tao Yu
Eugene Bagdasaryan
Vitaly Shmatikov
FedML
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Papers citing
"Salvaging Federated Learning by Local Adaptation"
50 / 144 papers shown
A Closer Look at Personalized Fine-Tuning in Heterogeneous Federated Learning
Minghui Chen
Hrad Ghoukasian
Ruinan Jin
Zehua Wang
Sai Praneeth Karimireddy
Xiaoxiao Li
199
0
0
16 Nov 2025
Spatio-Temporal Representation Decoupling and Enhancement for Federated Instrument Segmentation in Surgical Videos
Zheng Fang
Xiaoming Qi
Chun-Mei Feng
Jialun Pei
Weixin Si
Yueming Jin
FedML
327
3
0
30 Jun 2025
FeDa4Fair: Client-Level Federated Datasets for Fairness Evaluation
Xenia Heilmann
Luca Corbucci
Mattia Cerrato
Anna Monreale
FedML
294
0
0
26 Jun 2025
Black-Box Privacy Attacks on Shared Representations in Multitask Learning
John Abascal
Nicolás Berrios
Alina Oprea
Jonathan R. Ullman
Adam D. Smith
Matthew Jagielski
MLAU
289
0
0
19 Jun 2025
Addressing the Collaboration Dilemma in Low-Data Federated Learning via Transient Sparsity
Q. Xiao
Boqian Wu
Andrey Poddubnyy
Elena Mocanu
Phuong H. Nguyen
Mykola Pechenizkiy
Decebal Constantin Mocanu
FedML
341
0
0
01 Jun 2025
Federated learning framework for collaborative remaining useful life prognostics: an aircraft engine case study
Future generations computer systems (FGCS), 2025
Diogo Landau
Ingeborg de Pater
Mihaela Mitici
Nishant Saurabh
201
8
0
31 May 2025
Adaptive Latent-Space Constraints in Personalized Federated Learning
Sana Ayromlou
Fatemeh Tavakoli
D. B. Emerson
FedML
302
0
0
12 May 2025
Query-based Knowledge Transfer for Heterogeneous Learning Environments
International Conference on Learning Representations (ICLR), 2025
Norah Alballa
Wenxuan Zhang
Ziquan Liu
A. Abdelmoniem
Mohamed Elhoseiny
Marco Canini
400
2
0
12 Apr 2025
Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation
Changchang Yin
Hong-You Chen
Wei-Lun Chao
Ping Zhang
CML
244
1
0
06 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
Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach
Chaouki Ben Issaid
Praneeth Vepakomma
Mehdi Bennis
645
9
0
03 Feb 2025
Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures
Yicheng Zhang
Zhen Qin
Zhaomin Wu
Jian Hou
Shuiguang Deng
785
9
0
28 Nov 2024
DP
2
^2
2
-FedSAM: Enhancing Differentially Private Federated Learning Through Personalized Sharpness-Aware Minimization
Zhenxiao Zhang
Yuanxiong Guo
Yanmin Gong
FedML
305
1
0
20 Sep 2024
Applied Federated Model Personalisation in the Industrial Domain: A Comparative Study
Ilias Siniosoglou
Vasileios Argyriou
G. Fragulis
Panagiotis E. Fouliras
Georgios Th. Papadopoulos
A. Lytos
Panagiotis G. Sarigiannidis
224
1
0
10 Sep 2024
Advancing Hybrid Defense for Byzantine Attacks in Federated Learning
Kai Yue
Richeng Jin
Chau-Wai Wong
H. Dai
AAML
396
1
0
10 Sep 2024
Wind turbine condition monitoring based on intra- and inter-farm federated learning
IEEE Access (IEEE Access), 2024
Albin Grataloup
Stefan Jonas
Angela Meyer
AI4CE
295
8
0
05 Sep 2024
Federated Representation Learning in the Under-Parameterized Regime
International Conference on Machine Learning (ICML), 2024
Renpu Liu
Cong Shen
Jing Yang
430
12
0
07 Jun 2024
Worldwide Federated Training of Language Models
Alexandru Iacob
Lorenzo Sani
Bill Marino
Preslav Aleksandrov
William F. Shen
Nicholas D. Lane
FedML
447
6
0
23 May 2024
Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review
Md. Shahin Ali
M. Ahsan
Lamia Tasnim
Sadia Afrin
Koushik Biswas
Maruf Md. Sajjad Hossain
Md Mahfuz Ahmed
Ronok Hashan
Md. Khairul Islam
Shivakumar Raman
255
29
0
22 May 2024
FedMeS: Personalized Federated Continual Learning Leveraging Local Memory
Jingru Xie
Chenqi Zhu
Songze Li
FedML
CLL
293
2
0
19 Apr 2024
Improved Generalization Bounds for Communication Efficient Federated Learning
Peyman Gholami
H. Seferoglu
FedML
AI4CE
428
6
0
17 Apr 2024
MAP: Model Aggregation and Personalization in Federated Learning with Incomplete Classes
Xin-Chun Li
Shaoming Song
Yinchuan Li
Bingshuai Li
Yunfeng Shao
Yang Yang
De-Chuan Zhan
FedML
255
16
0
14 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
169
1
0
07 Mar 2024
How to Collaborate: Towards Maximizing the Generalization Performance in Cross-Silo Federated Learning
IEEE Transactions on Mobile Computing (IEEE TMC), 2024
Yuchang Sun
Marios Kountouris
Jun Zhang
FedML
331
5
0
24 Jan 2024
Formal Logic Enabled Personalized Federated Learning Through Property Inference
AAAI Conference on Artificial Intelligence (AAAI), 2024
Ziyan An
Taylor T. Johnson
Meiyi Ma
269
6
0
15 Jan 2024
Federated Continual Learning via Knowledge Fusion: A Survey
Xin Yang
Hao Yu
Xin Gao
Hao Wang
Junbo Zhang
Tianrui Li
FedML
311
107
0
27 Dec 2023
A review of federated learning in renewable energy applications: Potential, challenges, and future directions
Albin Grataloup
Stefan Jonas
Angela Meyer
326
12
0
18 Dec 2023
Factor-Assisted Federated Learning for Personalized Optimization with Heterogeneous Data
Feifei Wang
Huiyun Tang
Yang Li
FedML
292
2
0
07 Dec 2023
Distributed Personalized Empirical Risk Minimization
Neural Information Processing Systems (NeurIPS), 2023
Yuyang Deng
Mohammad Mahdi Kamani
Pouria Mahdavinia
M. Mahdavi
352
6
0
26 Oct 2023
Whole-brain radiomics for clustered federated personalization in brain tumor segmentation
International Conference on Medical Imaging with Deep Learning (MIDL), 2023
Matthis Manthe
Stefan Duffner
Carole Lartizien
FedML
314
6
0
17 Oct 2023
PAGE: Equilibrate Personalization and Generalization in Federated Learning
The Web Conference (WWW), 2023
Qian Chen
Zilong Wang
Jiaqi Hu
Haonan Yan
Jianying Zhou
Xiao-La Lin
FedML
278
7
0
13 Oct 2023
Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning
Liam Collins
Shanshan Wu
Sewoong Oh
K. Sim
FedML
312
11
0
06 Oct 2023
Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning
International Conference on Learning Representations (ICLR), 2023
Zebang Shen
Jiayuan Ye
Anmin Kang
Hamed Hassani
Reza Shokri
FedML
352
24
0
11 Sep 2023
FTA: Stealthy and Adaptive Backdoor Attack with Flexible Triggers on Federated Learning
Yanqi Qiao
Dazhuang Liu
Congwen Chen
Rui Wang
Kaitai Liang
FedML
AAML
287
2
0
31 Aug 2023
Scaff-PD: Communication Efficient Fair and Robust Federated Learning
Yaodong Yu
Sai Praneeth Karimireddy
Yi-An Ma
Michael I. Jordan
FedML
409
5
0
25 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
ACM Computing Surveys (ACM Comput. Surv.), 2023
Mang Ye
Xiuwen Fang
Bo Du
PongChi Yuen
Dacheng Tao
FedML
AAML
515
553
0
20 Jul 2023
Federated Few-shot Learning
Knowledge Discovery and Data Mining (KDD), 2023
Song Wang
Xingbo Fu
Kaize Ding
Chen Chen
Huiyuan Chen
Jundong Li
FedML
341
40
0
17 Jun 2023
Learning to Specialize: Joint Gating-Expert Training for Adaptive MoEs in Decentralized Settings
Yehya Farhat
Mirian Hipolito Garcia
Fangshuo Liao
Ahmed Hassan Awadallah
Mirian Hipolito Garcia
Guoqing Zheng
Ahmed Hassan Awadallah
Robert Sim
Dimitrios Dimitriadis
Anastasios Kyrillidis
FedML
MoE
304
6
0
14 Jun 2023
Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings
Disha Makhija
Joydeep Ghosh
Nhat Ho
FedML
263
3
0
13 Jun 2023
Global Layers: Non-IID Tabular Federated Learning
Yazan Obeidi
FedML
282
0
0
29 May 2023
Distributed Learning over Networks with Graph-Attention-Based Personalization
IEEE Transactions on Signal Processing (IEEE TSP), 2023
Zhuojun Tian
Zhaoyang Zhang
Zhaohui Yang
Richeng Jin
H. Dai
GNN
FedML
265
12
0
22 May 2023
FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Jiahao Liu
Jiang Wu
Jinyu Chen
Di Wu
Yipeng Zhou
Di Wu
FedML
323
36
0
10 May 2023
Now It Sounds Like You: Learning Personalized Vocabulary On Device
AAAI Spring Symposia (ASS), 2023
Sida Wang
Ashish Shenoy
P. Chuang
John Nguyen
VLM
393
5
0
05 May 2023
Can Fair Federated Learning reduce the need for Personalisation?
Ferhat Ozgur Catak
Pedro Gusmão
S. Sarp
FedML
182
1
0
04 May 2023
Federated Learning of Shareable Bases for Personalization-Friendly Image Classification
Hong-You Chen
Shitian Zhao
Ruotong Wang
Xuhui Jia
Qi
Boqing Gong
Wei-Lun Chao
Li Zhang
FedML
260
8
0
16 Apr 2023
A Comparative Study of Federated Learning Models for COVID-19 Detection
Erfan Darzidehkalani
N. Sijtsema
P. V. Ooijen
FedML
OOD
170
4
0
28 Mar 2023
PFSL: Personalized & Fair Split Learning with Data & Label Privacy for thin clients
IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2023
Manas Wadhwa
Gagan Raj Gupta
Ashutosh Sahu
Rahul Saini
Vidhi Mittal
FedML
332
9
0
19 Mar 2023
Visual Prompt Based Personalized Federated Learning
Guang-Ming Li
Wansen Wu
Yan Sun
Li Shen
Baoyuan Wu
Dacheng Tao
FedML
VLM
269
19
0
15 Mar 2023
Optimization Design for Federated Learning in Heterogeneous 6G Networks
IEEE Network (IEEE Netw.), 2023
Bing Luo
Xiaomin Ouyang
Peng Sun
Pengchao Han
Ningning Ding
Jianwei Huang
271
30
0
15 Mar 2023
Making Batch Normalization Great in Federated Deep Learning
Shitian Zhao
Hong-You Chen
Wei-Lun Chao
FedML
645
13
0
12 Mar 2023
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