Papers citing 'Federated Learning: Challenges, Methods, and Future Directions'

Title
Federated Automated Feature Engineering Tom Overman Diego Klabjan FedML 315 1 0 05 Dec 2024
Learn More by Using Less: Distributed Learning with Energy-Constrained Devices Roberto Pereira Cristian J. Vaca-Rubio Luis Blanco FedML 283 0 0 03 Dec 2024
IRS Aided Federated Learning: Multiple Access and Fundamental Tradeoff Guangji Chen Jun Li Qingqing Wu Yiyang Ni 236 0 0 30 Nov 2024
Controlling Participation in Federated Learning with FeedbackConference on Learning for Dynamics & Control (L4DC), 2024 Michael Cummins Güner Dilsad Er Michael Muehlebach FedML 357 1 0 28 Nov 2024
SoK: Decentralized AI (DeAI) Zhipeng Wang Rui Sun Elizabeth Lui Vatsal Shah Xihan Xiong Jiahao Sun Davide Crapis William Knottenbelt 539 5 0 26 Nov 2024
FedUHB: Accelerating Federated Unlearning via Polyak Heavy Ball MethodInformation Theory Workshop (ITW), 2024 Yu Jiang Chee Wei Tan K. Lam FedML MU 262 4 0 17 Nov 2024
Establishing and Evaluating Trustworthy AI: Overview and Research Challenges Dominik Kowald S. Scher Viktoria Pammer-Schindler Peter Müllner Kerstin Waxnegger ... Andreas Truegler Eduardo E. Veas Roman Kern Tomislav Nad Simone Kopeinik 235 25 0 15 Nov 2024
FedAli: Personalized Federated Learning Alignment with Prototype Layers for Generalized Mobile Services Sannara Ek Kaile Wang François Portet P. Lalanda Jiannong Cao FedML 361 0 0 15 Nov 2024
Artificial Intelligence in Pediatric Echocardiography: Exploring Challenges, Opportunities, and Clinical Applications with Explainable AI and Federated Learning M. Y. Jabarulla T. Uden Thomas Jack P. Beerbaum S. Oeltze-jafra 267 2 0 15 Nov 2024
Federated Graph Learning with Graphless Clients Xingbo Fu Song Wang Yushun Dong Binchi Zhang Chen Chen Jundong Li FedML 163 3 0 13 Nov 2024
Federated Learning for Discrete Optimal Transport with Large Population under Incomplete Information Navpreet Kaur Juntao Chen Yingdong Lu OT FedML 189 0 0 12 Nov 2024
Differentially-Private Collaborative Online Personalized Mean EstimationInternational Symposium on Information Theory (ISIT), 2023 Yauhen Yakimenka Chung-Wei Weng Hsuan-Yin Lin E. Rosnes J. Kliewer FedML 244 2 0 11 Nov 2024
Differential Privacy Overview and Fundamental Techniques Ferdinando Fioretto Pascal Van Hentenryck Juba Ziani 102 1 0 07 Nov 2024
Fed-EC: Bandwidth-Efficient Clustering-Based Federated Learning For Autonomous Visual Robot NavigationIEEE Robotics and Automation Letters (RA-L), 2024 Shreya Gummadi M. V. Gasparino Deepak Vasisht Girish Chowdhary FedML 221 6 0 06 Nov 2024
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA Marlon Tobaben Mohamed Ali Souibgui Rubèn Pérez Tito Khanh Nguyen Raouf Kerkouche ... Josep Lladós Ernest Valveny Antti Honkela Mario Fritz Dimosthenis Karatzas FedML 361 1 0 06 Nov 2024
Overcoming label shift with target-aware federated learning Edvin Listo Zec Adam Breitholtz Fredrik D. Johansson FedML 411 1 0 06 Nov 2024
Formal Logic-guided Robust Federated Learning against Poisoning Attacks Dung T. Nguyen Ziyan An Taylor T. Johnson Meiyi Ma Kevin Leach AAML OOD 284 1 0 05 Nov 2024
Federated GNNs for EEG-Based Stroke Assessment Andrea Protani Lorenzo Giusti Albert Sund Aillet Simona Sacco Paolo Manganotti ... Pierpaolo Brutti Pietro Caliandro Luigi Serio Pietro Caliandro Luigi Serio FedML 168 1 0 04 Nov 2024
Trustworthy Federated Learning: Privacy, Security, and BeyondKnowledge and Information Systems (KAIS), 2024 Chunlu Chen Ji Liu Haowen Tan Xingjian Li Kevin I-Kai Wang Peng Li Kouichi Sakurai Dejing Dou FedML 280 41 0 03 Nov 2024
Analysis of regularized federated learning Langming Liu Dingxuan Zhou FedML 134 3 0 03 Nov 2024
Efficient and Robust Regularized Federated RecommendationInternational Conference on Information and Knowledge Management (CIKM), 2024 Langming Liu Wanyu Wang Xiangyu Zhao Zijian Zhang Chunxu Zhang ... Lixin Zou Zitao Liu Xuetao Wei Hongzhi Yin Qing Li FedML 259 6 0 03 Nov 2024
Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample RegimeNeural Information Processing Systems (NeurIPS), 2024 Lasse Vuursteen 181 1 0 02 Nov 2024
Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks Youngjoon Lee J. Gong Joonhyuk Kang 345 1 0 31 Oct 2024
A Study of Secure Algorithms for Vertical Federated Learning: Take Secure Logistic Regression as an Example Huan-Chih Wang Ja-Ling Wu FedML 98 0 0 30 Oct 2024
Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-TuningNeural Information Processing Systems (NeurIPS), 2024 P. M. Ghari Yanning Shen FedML 167 10 0 28 Oct 2024
Enhancing Federated Learning Convergence with Dynamic Data Queue and Data Entropy-driven Participant SelectionIEEE Internet of Things Journal (IEEE IoT J.), 2024 Charuka Herath Xiaolan Liu S. Lambotharan Y. Rahulamathavan FedML 190 8 0 23 Oct 2024
ProFL: Performative Robust Optimal Federated Learning Xue Zheng Tian Xie Xuwei Tan Aylin Yener Xueru Zhang FedML 429 1 0 23 Oct 2024
A Bayesian Framework for Clustered Federated Learning Peng Wu Tales Imbiriba Pau Closas FedML 299 2 0 20 Oct 2024
Personalized Federated Learning with Adaptive Feature Aggregation and Knowledge Transfer Keting Yin Jiayi Mao 253 3 0 19 Oct 2024
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 200 0 0 17 Oct 2024
FRAG: Toward Federated Vector Database Management for Collaborative and Secure Retrieval-Augmented Generation Dongfang Zhao 122 8 0 17 Oct 2024
On-device Federated Learning in Smartphones for Detecting Depression from Reddit Posts Mustofa Ahmed Abdul Muntakim Nawrin Tabassum Mohammad Asifur Rahim Faisal Muhammad Shah FedML 213 2 0 17 Oct 2024
FedGTST: Boosting Global Transferability of Federated Models via Statistics TuningNeural Information Processing Systems (NeurIPS), 2024 Peizhi Niu Chao Pan Rasoul Etesami Han Zhao S. Rasoul Etesami FedML AAML 249 0 0 16 Oct 2024
Why Go Full? Elevating Federated Learning Through Partial Network UpdatesNeural Information Processing Systems (NeurIPS), 2024 Haolin Wang Xuefeng Liu Jianwei Niu Wenkai Guo Shaojie Tang FedML 398 2 0 15 Oct 2024
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language ModelsInternational Conference on Learning Representations (ICLR), 2024 Jun Luo Chong Chen Shandong Wu FedML VLM MoE 531 15 0 14 Oct 2024
A New Perspective to Boost Performance Fairness for Medical Federated LearningInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024 Yunlu Yan Lei Zhu Yuexiang Li Xinxing Xu Rick Siow Mong Goh Yong Liu Salman Khan Chun-Mei Feng FedML OOD 238 1 0 12 Oct 2024
Enhanced Federated Anomaly Detection Through Autoencoders Using Summary Statistics-Based ThresholdingScientific Reports (Sci Rep), 2024 Sofiane Laridi Gregory Palmer Kam-Ming Mark Tam FedML 125 9 0 11 Oct 2024
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 519 0 0 11 Oct 2024
Federated Learning in Practice: Reflections and ProjectionsInternational Conference on Trust, Privacy and Security in Intelligent Systems and Applications (ICPSISA), 2024 Katharine Daly Hubert Eichner Peter Kairouz H. B. McMahan Daniel Ramage Zheng Xu FedML 308 29 0 11 Oct 2024
A Comprehensive Survey on Joint Resource Allocation Strategies in Federated Edge Learning Jingbo Zhang Qiong Wu Pingyi Fan Nan Cheng FedML 208 1 0 10 Oct 2024
Adaptive Guidance for Local Training in Heterogeneous Federated Learning Jianqing Zhang Yang Liu Yang Hua Jian Cao Qiang Yang FedML 290 1 0 09 Oct 2024
A Seesaw Model Attack Algorithm for Distributed LearningInternational Conferences on Smart Internet of Things (ICCSIT), 2024 Kun Yang Tianyi Luo Yanjie Dong Aohan Li AAML FedML 112 0 0 07 Oct 2024
Overpredictive Signal Analytics in Federated Learning: Algorithms and Analysis Vijay Anavangot FedML 110 0 0 02 Oct 2024
Debiasing Federated Learning with Correlated Client ParticipationInternational Conference on Learning Representations (ICLR), 2024 Zhenyu Sun Ziyang Zhang Zheng Xu Gauri Joshi Pranay Sharma Ermin Wei FedML 279 1 0 02 Oct 2024
Selective Aggregation for Low-Rank Adaptation in Federated LearningInternational Conference on Learning Representations (ICLR), 2024 Pengxin Guo Shuang Zeng Y. Wang Huijie Fan Feifei Wang Liangqiong Qu FedML 504 42 0 02 Oct 2024
Leveraging Pre-trained Models for Robust Federated Learning for Kidney Stone Type RecognitionMexican International Conference on Artificial Intelligence (MICAI), 2024 Iván Reyes-Amezcua Michael Rojas-Ruiz Gilberto Ochoa-Ruiz Andres Mendez-Vazquez Christian Daul 124 1 0 30 Sep 2024
Tailored Federated Learning: Leveraging Direction Regulation & Knowledge DistillationInternational Conference on Advanced Data Mining and Applications (ADMA), 2024 Huidong Tang Chen Li Huachong Yu Sayaka Kamei Yasuhiko Morimoto FedML 247 1 0 29 Sep 2024
Infighting in the Dark: Multi-Label Backdoor Attack in Federated LearningComputer Vision and Pattern Recognition (CVPR), 2024 Ye Li Yanchao Zhao Chengcheng Zhu Jiale Zhang AAML 327 2 0 29 Sep 2024
Hierarchical Federated Learning with Multi-Timescale Gradient CorrectionNeural Information Processing Systems (NeurIPS), 2024 Wenzhi Fang Dong-Jun Han Evan Chen Jianing Zhang Christopher G. Brinton 185 16 0 27 Sep 2024
Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey Tiansheng Huang Sihao Hu Fatih Ilhan Selim Furkan Tekin Ling Liu AAML 420 76 0 26 Sep 2024

315

1

0

05 Dec 2024

Learn More by Using Less: Distributed Learning with Energy-Constrained Devices

Roberto Pereira

Cristian J. Vaca-Rubio

Luis Blanco

FedML

283

0

03 Dec 2024

IRS Aided Federated Learning: Multiple Access and Fundamental Tradeoff

236

0

30 Nov 2024

Controlling Participation in Federated Learning with FeedbackConference on Learning for Dynamics & Control (L4DC), 2024

357

1

0

28 Nov 2024

SoK: Decentralized AI (DeAI)

539

5

0

26 Nov 2024

FedUHB: Accelerating Federated Unlearning via Polyak Heavy Ball MethodInformation Theory Workshop (ITW), 2024

262

4

0

17 Nov 2024

Establishing and Evaluating Trustworthy AI: Overview and Research Challenges

Dominik Kowald

S. Scher

Viktoria Pammer-Schindler

...

235

25

0

15 Nov 2024

FedAli: Personalized Federated Learning Alignment with Prototype Layers for Generalized Mobile Services

361

0

15 Nov 2024

Artificial Intelligence in Pediatric Echocardiography: Exploring Challenges, Opportunities, and Clinical Applications with Explainable AI and Federated Learning

267

2

0

15 Nov 2024

Federated Graph Learning with Graphless Clients

163

3

0

13 Nov 2024

Federated Learning for Discrete Optimal Transport with Large Population under Incomplete Information

189

0

12 Nov 2024

Differentially-Private Collaborative Online Personalized Mean EstimationInternational Symposium on Information Theory (ISIT), 2023

244

2

0

11 Nov 2024

Differential Privacy Overview and Fundamental Techniques

Ferdinando Fioretto

Pascal Van Hentenryck

Juba Ziani

102

1

0

07 Nov 2024

Fed-EC: Bandwidth-Efficient Clustering-Based Federated Learning For Autonomous Visual Robot NavigationIEEE Robotics and Automation Letters (RA-L), 2024

221

6

0

06 Nov 2024

NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA

...

361

1

0

06 Nov 2024

Overcoming label shift with target-aware federated learning

411

1

0

06 Nov 2024

Formal Logic-guided Robust Federated Learning against Poisoning Attacks

284

1

0

05 Nov 2024

Federated GNNs for EEG-Based Stroke Assessment

...

Pietro Caliandro

Luigi Serio

FedML

168

1

0

04 Nov 2024

Trustworthy Federated Learning: Privacy, Security, and BeyondKnowledge and Information Systems (KAIS), 2024

280

41

0

03 Nov 2024

Analysis of regularized federated learning

Langming Liu

Dingxuan Zhou

FedML

134

3

0

03 Nov 2024

Efficient and Robust Regularized Federated RecommendationInternational Conference on Information and Knowledge Management (CIKM), 2024

...

259

6

0

03 Nov 2024

Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample RegimeNeural Information Processing Systems (NeurIPS), 2024

Lasse Vuursteen

181

1

0

02 Nov 2024

Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks

Youngjoon Lee

J. Gong

Joonhyuk Kang

345

1

0

31 Oct 2024

A Study of Secure Algorithms for Vertical Federated Learning: Take Secure Logistic Regression as an Example

Huan-Chih Wang

Ja-Ling Wu

FedML

98

0

30 Oct 2024

Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-TuningNeural Information Processing Systems (NeurIPS), 2024

P. M. Ghari

Yanning Shen

FedML

167

10

0

28 Oct 2024

Enhancing Federated Learning Convergence with Dynamic Data Queue and Data Entropy-driven Participant SelectionIEEE Internet of Things Journal (IEEE IoT J.), 2024

190

8

0

23 Oct 2024

ProFL: Performative Robust Optimal Federated Learning

429

1

0

23 Oct 2024

A Bayesian Framework for Clustered Federated Learning

299

2

0

20 Oct 2024

Personalized Federated Learning with Adaptive Feature Aggregation and Knowledge Transfer

Keting Yin

Jiayi Mao

253

3

0

19 Oct 2024

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

200

0

17 Oct 2024

FRAG: Toward Federated Vector Database Management for Collaborative and Secure Retrieval-Augmented Generation

Dongfang Zhao

122

8

0

17 Oct 2024

On-device Federated Learning in Smartphones for Detecting Depression from Reddit Posts

Mustofa Ahmed

Abdul Muntakim

Nawrin Tabassum

Mohammad Asifur Rahim

Faisal Muhammad Shah

FedML

213

2

0

17 Oct 2024

FedGTST: Boosting Global Transferability of Federated Models via Statistics TuningNeural Information Processing Systems (NeurIPS), 2024

249

0

16 Oct 2024

Why Go Full? Elevating Federated Learning Through Partial Network UpdatesNeural Information Processing Systems (NeurIPS), 2024

398

2

0

15 Oct 2024

Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language ModelsInternational Conference on Learning Representations (ICLR), 2024

531

15

0

14 Oct 2024

A New Perspective to Boost Performance Fairness for Medical Federated LearningInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024

238

1

0

12 Oct 2024

Enhanced Federated Anomaly Detection Through Autoencoders Using Summary Statistics-Based ThresholdingScientific Reports (Sci Rep), 2024

125

9

0

11 Oct 2024

Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees

519

0

11 Oct 2024

Federated Learning in Practice: Reflections and ProjectionsInternational Conference on Trust, Privacy and Security in Intelligent Systems and Applications (ICPSISA), 2024

Daniel Ramage

308

29

0

11 Oct 2024