v1v2v3 (latest)

Advances and Open Problems in Federated Learning

10 December 2019

Rafael G. L. DÓliveira

Lie He

Yang Liu

Papers citing "Advances and Open Problems in Federated Learning"

50 / 2,962 papers shown

Compression with Exact Error Distribution for Federated LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023

219

31 Oct 2023

FlexTrain: A Dynamic Training Framework for Heterogeneous Devices Environments

31 Oct 2023

AsGrad: A Sharp Unified Analysis of Asynchronous-SGD AlgorithmsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023

Rustem Islamov

M. Safaryan

Dan Alistarh

FedML

232

31 Oct 2023

A Survey on Federated Unlearning: Challenges, Methods, and Future DirectionsACM Computing Surveys (ACM Comput. Surv.), 2023

Kwok-Yan Lam

Xiaoning Liu

398

104

31 Oct 2023

Multi-Agent Consensus Seeking via Large Language Models

385

31 Oct 2023

PriPrune: Quantifying and Preserving Privacy in Pruned Federated LearningACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS), 2023

269

30 Oct 2023

Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model SparsificationIEEE Internet of Things Journal (IEEE IoT J.), 2023

266

30 Oct 2023

Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection

...

203

30 Oct 2023

Maximum Knowledge Orthogonality Reconstruction with Gradients in Federated LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023

Feng Wang

Senem Velipasalar

M. C. Gursoy

181

30 Oct 2023

Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication CompressionInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023

240

29 Oct 2023

Correlation Aware Sparsified Mean Estimation Using Random ProjectionNeural Information Processing Systems (NeurIPS), 2023

Shuli Jiang

Pranay Sharma

Gauri Joshi

300

29 Oct 2023

RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial Data ManipulationNetwork and Distributed System Security Symposium (NDSS), 2023

Dzung Pham

Shreyas Kulkarni

Amir Houmansadr

299

29 Oct 2023

Adaptive Test-Time Personalization for Federated LearningNeural Information Processing Systems (NeurIPS), 2023

236

28 Oct 2023

Rethinking Semi-Supervised Federated Learning: How to co-train fully-labeled and fully-unlabeled client imaging dataInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023

317

28 Oct 2023

Distributed Personalized Empirical Risk MinimizationNeural Information Processing Systems (NeurIPS), 2023

Yuyang Deng

Mohammad Mahdi Kamani

Pouria Mahdavinia

M. Mahdavi

252

26 Oct 2023

Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Federated Object Detection

317

26 Oct 2023

Smoothed Gradient Clipping and Error Feedback for Distributed Optimization under Heavy-Tailed Noise

Shuhua Yu

D. Jakovetić

S. Kar

366

25 Oct 2023

Robust and Actively Secure Serverless Collaborative LearningNeural Information Processing Systems (NeurIPS), 2023

Olive Franzese

Adam Dziedzic

Christopher A. Choquette-Choo

Mark R. Thomas

Muhammad Ahmad Kaleem

222

25 Oct 2023

Decentralized Learning over Wireless Networks with Broadcast-Based Subgraph Sampling

Daniel Pérez Herrera

Zheng Chen

Erik G. Larsson

252

24 Oct 2023

Online Robust Mean EstimationACM-SIAM Symposium on Discrete Algorithms (SODA), 2023

265

24 Oct 2023

Handling Data Heterogeneity via Architectural Design for Federated Visual RecognitionNeural Information Processing Systems (NeurIPS), 2023

Hisham Cholakkal

164

23 Oct 2023

Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive OptimizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023

432

23 Oct 2023

Federated learning compression designed for lightweight communicationsInternational Conference on Electronics, Circuits, and Systems (ICECS), 2023

Lucas Grativol Ribeiro

185

23 Oct 2023

B^2SFL: A Bi-level Blockchained Architecture for Secure Federated Learning-based Traffic PredictionIEEE Transactions on Services Computing (TSC), 2023

238

23 Oct 2023

A Quadratic Synchronization Rule for Distributed Deep LearningInternational Conference on Learning Representations (ICLR), 2023

298

22 Oct 2023

PPFL: A Personalized Federated Learning Framework for Heterogeneous PopulationINFORMS journal on computing (IJOC), 2023

257

22 Oct 2023

Distributed Linear Regression with Compositional Covariates

Yue Chao

Lei Huang

Xuejun Ma

187

21 Oct 2023

DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset

Xu Chen

241

20 Oct 2023

pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning

314

20 Oct 2023

Demystifying the Myths and Legends of Nonconvex Convergence of SGD

266

19 Oct 2023

Effective and Efficient Federated Tree Learning on Hybrid DataInternational Conference on Learning Representations (ICLR), 2023

Chulin Xie

218

18 Oct 2023

Federated Learning with Nonvacuous Generalisation Bounds

255

17 Oct 2023

Passive Inference Attacks on Split Learning via Adversarial RegularizationNetwork and Distributed System Security Symposium (NDSS), 2023

349

16 Oct 2023

Federated Learning with Convex Global and Local Constraints

318

16 Oct 2023

Over-the-Air Federated Learning and Optimization

444

16 Oct 2023

FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models

258

16 Oct 2023

Distributed Estimation with Partially Accessible Information: An IMAT Approach to LMS Diffusion

Mahdi Shamsi

F. Marvasti

137

15 Oct 2023

Federated Multi-Objective Learning

Haibo Yang

305

15 Oct 2023

Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates

338

15 Oct 2023

Multimodal Federated Learning in Healthcare: a Review

319

14 Oct 2023

Federated Battery Diagnosis and Prognosis

148

14 Oct 2023

Near-optimal Differentially Private Client Selection in Federated Settings

164

13 Oct 2023

User Inference Attacks on Large Language Models

Christopher A. Choquette-Choo

Zheng Xu

SILM AAML

347

13 Oct 2023

PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning

284

13 Oct 2023

Price of Stability in Quality-Aware Federated LearningGlobal Communications Conference (GLOBECOM), 2023

Chao Huang

175

13 Oct 2023

Optimization of Federated Learning's Client Selection for Non-IID Data Based on Grey Relational Analysis

Shuaijun Chen

Omid Tavallaie

Michael Henri Hambali

Hamed Haddadi

Albert Y. Zomaya

321

12 Oct 2023

A Carbon Tracking Model for Federated Learning: Impact of Quantization and SparsificationIEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (MDCLN), 2023

201

12 Oct 2023

FedSym: Unleashing the Power of Entropy for Benchmarking the Algorithms for Federated LearningBigData Congress [Services Society] (BSS), 2023

184

11 Oct 2023

Differentially Private Multi-Site Treatment Effect Estimation

267

10 Oct 2023

Text-driven Prompt Generation for Vision-Language Models in Federated Learning

Chen Qiu

Xingyu Li

Chaithanya Kumar Mummadi

294

09 Oct 2023