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Think Locally, Act Globally: Federated Learning with Local and Global
  Representations
v1v2v3 (latest)

Think Locally, Act Globally: Federated Learning with Local and Global Representations

6 January 2020
Paul Pu Liang
Terrance Liu
Liu Ziyin
Nicholas B. Allen
Randy P. Auerbach
David Brent
Ruslan Salakhutdinov
Louis-Philippe Morency
    FedML
ArXiv (abs)PDFHTML

Papers citing "Think Locally, Act Globally: Federated Learning with Local and Global Representations"

50 / 298 papers shown
FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning
FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning
Yuan Yao
Lixu Wang
Jiaqi Wu
Jin Song
Simin Chen
Zehua Wang
Zijian Tian
Wei Chen
Huixia Li
Xiaoxiao Li
FedML
199
0
0
30 Mar 2026
Privacy-Aware Federated nnU-Net for ECG Page Digitization
Privacy-Aware Federated nnU-Net for ECG Page Digitization
Nader Nemati
FedML
213
0
0
25 Oct 2025
CO-PFL: Contribution-Oriented Personalized Federated Learning for Heterogeneous Networks
CO-PFL: Contribution-Oriented Personalized Federated Learning for Heterogeneous Networks
Ke Xing
Yanjie Dong
Xiaoyi Fan
Runhao Zeng
Victor C. M. Leung
M. Jamal Deen
Xiping Hu
FedML
178
1
0
23 Oct 2025
Federated Learning via Meta-Variational Dropout
Federated Learning via Meta-Variational DropoutNeural Information Processing Systems (NeurIPS), 2025
Insu Jeon
Minui Hong
Junhyeog Yun
Gunhee Kim
FedML
290
11
0
23 Oct 2025
FedDEAP: Adaptive Dual-Prompt Tuning for Multi-Domain Federated Learning
FedDEAP: Adaptive Dual-Prompt Tuning for Multi-Domain Federated Learning
Yubin Zheng
Pak-Hei Yeung
Jing Xia
Tianjie Ju
Peng Tang
Weidong Qiu
Jagath C. Rajapakse
FedMLVLM
214
0
0
21 Oct 2025
Personalized Collaborative Learning with Affinity-Based Variance Reduction
Personalized Collaborative Learning with Affinity-Based Variance Reduction
Chenyu Zhang
Navid Azizan
155
0
0
17 Oct 2025
Towards Privacy-Preserving and Heterogeneity-aware Split Federated Learning via Probabilistic Masking
Towards Privacy-Preserving and Heterogeneity-aware Split Federated Learning via Probabilistic Masking
Xingchen Wang
Feijie Wu
Chenglin Miao
Tianchun Li
Haoyu Hu
Qiming Cao
Jing Gao
Lu Su
293
0
0
18 Sep 2025
AI-in-the-Loop: Privacy Preserving Real-Time Scam Detection and Conversational Scambaiting by Leveraging LLMs and Federated Learning
AI-in-the-Loop: Privacy Preserving Real-Time Scam Detection and Conversational Scambaiting by Leveraging LLMs and Federated Learning
Ismail Hossain
Sai Puppala
Sajedul Talukder
Md. jahangir Alam
337
1
0
04 Sep 2025
Dual-Distilled Heterogeneous Federated Learning with Adaptive Margins for Trainable Global Prototypes
Dual-Distilled Heterogeneous Federated Learning with Adaptive Margins for Trainable Global Prototypes
Md Anwar Hossen
Fatema Siddika
Wensheng Zhang
Anuj Sharma
Ali Jannesari
Ali Jannesari
306
0
0
26 Aug 2025
Choice Outweighs Effort: Facilitating Complementary Knowledge Fusion in Federated Learning via Re-calibration and Merit-discrimination
Choice Outweighs Effort: Facilitating Complementary Knowledge Fusion in Federated Learning via Re-calibration and Merit-discrimination
Ming Yang
Dongrun Li
Xin Wang
Xiaoyang Yu
Xiaoming Wu
Shibo He
FedML
190
1
0
25 Aug 2025
FedUNet: A Lightweight Additive U-Net Module for Federated Learning with Heterogeneous Models
FedUNet: A Lightweight Additive U-Net Module for Federated Learning with Heterogeneous Models
Beomseok Seo
Kichang Lee
JaeYeon Park
FedML
158
0
0
18 Aug 2025
Generalizable Federated Learning using Client Adaptive Focal Modulation
Generalizable Federated Learning using Client Adaptive Focal Modulation
Tajamul Ashraf
Iqra Altaf Gillani
FedML
175
0
0
14 Aug 2025
pFedDSH: Enabling Knowledge Transfer in Personalized Federated Learning through Data-free Sub-Hypernetwork
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
241
0
0
07 Aug 2025
Should Bias be Eliminated? A General Framework to Use Bias for OOD Generalization
Should Bias be Eliminated? A General Framework to Use Bias for OOD Generalization
Yan Li
Guangyi Chen
Yunlong Deng
Zijian Li
Zeyu Tang
Anpeng Wu
Kun Zhang
CML
205
0
0
22 Jul 2025
pFedMMA: Personalized Federated Fine-Tuning with Multi-Modal Adapter for Vision-Language Models
pFedMMA: Personalized Federated Fine-Tuning with Multi-Modal Adapter for Vision-Language Models
Sajjad Ghiasvand
Mahnoosh Alizadeh
Ramtin Pedarsani
VLM
375
1
0
07 Jul 2025
FedAPM: Federated Learning via ADMM with Partial Model Personalization
FedAPM: Federated Learning via ADMM with Partial Model Personalization
Shengkun Zhu
Feiteng Nie
Jinshan Zeng
Sheng Wang
Yuan Sun
Yuan Yao
Shangfeng Chen
Quanqing Xu
Chuanhui Yang
FedML
285
1
0
05 Jun 2025
HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark
HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark
Jianqing Zhang
Xinghao Wu
Yanbing Zhou
Xiaoting Sun
Qiqi Cai
Yang Liu
Yang Hua
Zhenzhe Zheng
Jian Cao
Qiang Yang
FedML
396
5
0
04 Jun 2025
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning
Approximated Behavioral Metric-based State Projection for Federated Reinforcement LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Zengxia Guo
Bohui An
Zhongqi Lu
FedML
281
0
0
15 May 2025
Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning
Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning
Md. Tanzib Hosain
Asif Zaman
Md. Shahriar Sajid
Shadman Sakeeb Khan
Shanjida Akter
309
12
0
03 May 2025
Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization
Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization
Hao Mark Chen
Zehuan Zhang
Wanru Zhao
Nicholas D. Lane
Hongxiang Fan
300
0
0
21 Apr 2025
Byzantine Resilient Federated Multi-Task Representation Learning
Byzantine Resilient Federated Multi-Task Representation Learning
Tuan Le
Shana Moothedath
440
3
0
24 Mar 2025
Federated Learning with Domain Shift Eraser
Federated Learning with Domain Shift EraserComputer Vision and Pattern Recognition (CVPR), 2025
Xiping Hu
Zihui Wang
Liang Luo
Xiaoliang Fan
Cheng-Yu Wang
FedML
412
12
0
17 Mar 2025
Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning
Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning
Xinghao Wu
Jianwei Niu
Xuefeng Liu
Guogang Zhu
Jiayuan Zhang
Shaojie Tang
Wei Chen
309
0
0
16 Mar 2025
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data AnalysisComputer Vision and Pattern Recognition (CVPR), 2025
Luyuan Xie
Tianyu Luan
Wenyuan Cai
Guochen Yan
Zhaoyu Chen
Nan Xi
Yuejian Fang
Qingni Shen
Zhonghai Wu
Junsong Yuan
FedML
837
6
0
13 Mar 2025
Moss: Proxy Model-based Full-Weight Aggregation in Federated Learning with Heterogeneous Models
Moss: Proxy Model-based Full-Weight Aggregation in Federated Learning with Heterogeneous ModelsProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (IMWUT), 2025
Y. Cai
Ziqi Zhang
Ding Li
Yao Guo
Xiangqun Chen
536
0
0
13 Mar 2025
Extra Clients at No Extra Cost: Overcome Data Heterogeneity in Federated Learning with Filter Decomposition
Extra Clients at No Extra Cost: Overcome Data Heterogeneity in Federated Learning with Filter Decomposition
Wei Chen
Qiang Qiu
FedML
516
1
0
11 Mar 2025
Personalized Federated Learning via Learning Dynamic Graphs
Personalized Federated Learning via Learning Dynamic Graphs
Ziran Zhou
Guanyu Gao
Xiaohu Wu
Yan Lyu
FedML
316
3
0
07 Mar 2025
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
471
14
0
27 Feb 2025
Personalized Federated Learning for Egocentric Video Gaze Estimation with Comprehensive Parameter Frezzing
Personalized Federated Learning for Egocentric Video Gaze Estimation with Comprehensive Parameter Frezzing
Yuhu Feng
Keisuke Maeda
Takahiro Ogawa
Miki Haseyama
FedMLEgoV
283
0
0
25 Feb 2025
FedORGP: Guiding Heterogeneous Federated Learning with Orthogonality Regularization on Global Prototypes
FedORGP: Guiding Heterogeneous Federated Learning with Orthogonality Regularization on Global Prototypes
Fucheng Guo
Zeyu Luan
Qing Li
Dan Zhao
Yong Jiang
FedML
390
0
0
22 Feb 2025
Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach
Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach
Chaouki Ben Issaid
Praneeth Vepakomma
Mehdi Bennis
653
10
0
03 Feb 2025
PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning
PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated LearningThe Web Conference (WWW), 2025
Yu Feng
Yangli-ao Geng
Yifan Zhu
Zongfu Han
Xie Yu
Kaiwen Xue
Haoran Luo
Mengyang Sun
Guangwei Zhang
Meina Song
FedMLMoE
519
11
0
01 Feb 2025
PeFLL: Personalized Federated Learning by Learning to Learn
PeFLL: Personalized Federated Learning by Learning to LearnInternational Conference on Learning Representations (ICLR), 2023
Jonathan Scott
Hossein Zakerinia
Christoph H. Lampert
FedML
767
34
0
17 Jan 2025
Towards Understanding Extrapolation: a Causal Lens
Towards Understanding Extrapolation: a Causal LensNeural Information Processing Systems (NeurIPS), 2025
Lingjing Kong
Guangyi Chen
P. Stojanov
Haoyang Li
Eric P. Xing
Kun Zhang
707
5
0
17 Jan 2025
Personalized Language Model Learning on Text Data Without User Identifiers
Personalized Language Model Learning on Text Data Without User IdentifiersKnowledge Discovery and Data Mining (KDD), 2025
Yucheng Ding
Yangwenjian Tan
Xiangyu Liu
Chaoyue Niu
Fandong Meng
Jie Zhou
Ning Liu
Fan Wu
Guihai Chen
323
2
0
10 Jan 2025
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2025
Yanbing Zhou
Xiangmou Qu
Chenlong You
Jiyang Zhou
Jingyue Tang
Xin Zheng
Chunmao Cai
Yingbo Wu
FedML
449
7
0
09 Jan 2025
Delayed Random Partial Gradient Averaging for Federated Learning
Delayed Random Partial Gradient Averaging for Federated LearningInternational Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2023
Xinyi Hu
FedML
311
0
0
31 Dec 2024
Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-Supervised Learning
Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-Supervised LearningIEEE International Conference on Distributed Computing Systems (ICDCS), 2024
Sijia Chen
Ningxin Su
Baochun Li
FedML
465
4
0
31 Dec 2024
Federated Learning with Uncertainty and Personalization via Efficient
  Second-order Optimization
Federated Learning with Uncertainty and Personalization via Efficient Second-order Optimization
Shivam Pal
Aishwarya Gupta
Saqib Sarwar
Piyush Rai
FedML
445
0
0
27 Nov 2024
FedRAV: Hierarchically Federated Region-Learning for Traffic Object
  Classification of Autonomous Vehicles
FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous VehiclesInternational Conference on Mobile Ad-hoc and Sensor Networks (ICMASN), 2024
Yijun Zhai
Pengzhan Zhou
Yuepeng He
Fang Qu
Zhida Qin
Xianlong Jiao
Guiyan Liu
Songtao Guo
315
2
0
21 Nov 2024
FedAli: Personalized Federated Learning Alignment with Prototype Layers for Generalized Mobile Services
FedAli: Personalized Federated Learning Alignment with Prototype Layers for Generalized Mobile Services
Sannara Ek
Kaile Wang
François Portet
P. Lalanda
Jiannong Cao
FedML
441
0
0
15 Nov 2024
Towards Personalized Federated Learning via Comprehensive Knowledge
  Distillation
Towards Personalized Federated Learning via Comprehensive Knowledge DistillationIEEE International Conference on Systems, Man and Cybernetics (SMC), 2024
Peng Wang
Bochao Liu
Weijia Guo
Yong Li
Shiming Ge
FedML
271
4
0
06 Nov 2024
FedReMa: Improving Personalized Federated Learning via Leveraging the
  Most Relevant Clients
FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant ClientsEuropean Conference on Artificial Intelligence (ECAI), 2024
Han Liang
Ziwei Zhan
Weijie Liu
Xiaoxi Zhang
Chee Wei Tan
Xu Chen
FedML
297
7
0
04 Nov 2024
Personalized Federated Learning via Feature Distribution Adaptation
Personalized Federated Learning via Feature Distribution AdaptationNeural Information Processing Systems (NeurIPS), 2024
Connor Mclaughlin
Lili Su
FedMLOOD
446
28
0
01 Nov 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with
  Progressive Model Fusion
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model FusionNeural Information Processing Systems (NeurIPS), 2024
Zhenheng Tang
Yonggang Zhang
Peijie Dong
Yiu-ming Cheung
Amelie Chi Zhou
Bo Han
Xiaowen Chu
FedMLMoMeAI4CE
380
19
0
27 Oct 2024
FedPAE: Peer-Adaptive Ensemble Learning for Asynchronous and
  Model-Heterogeneous Federated Learning
FedPAE: Peer-Adaptive Ensemble Learning for Asynchronous and Model-Heterogeneous Federated LearningBigData Congress [Services Society] (BSS), 2024
Brianna Mueller
W. Street
Stephen Seung-Yeob Baek
Qihang Lin
Jingyi Yang
Yankun Huang
254
1
0
17 Oct 2024
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language ModelsInternational Conference on Learning Representations (ICLR), 2024
Jun Luo
Chong Chen
Shandong Wu
FedMLVLMMoE
625
17
0
14 Oct 2024
Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees
Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees
Xin Yu
Zelin He
Ying Sun
Lingzhou Xue
Runze Li
FedML
634
0
0
11 Oct 2024
Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based
  Federated Fine-Tuning
Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-TuningInternational Conference on Learning Representations (ICLR), 2024
Jingyuan Zhang
Yiyang Duan
Shuaicheng Niu
Yang Cao
Wei Yang Bryan Lim
300
9
0
10 Oct 2024
Adaptive Guidance for Local Training in Heterogeneous Federated Learning
Adaptive Guidance for Local Training in Heterogeneous Federated Learning
Jianqing Zhang
Yang Liu
Yang Hua
Jian Cao
Qiang Yang
FedML
347
1
0
09 Oct 2024
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