Federated Learning

Federated Learning is a machine learning approach that allows multiple devices or entities to collaboratively train a shared model without exchanging their data with each other. Instead of sending data to a central server for training, the model is trained locally on each device, and only the model updates are sent to the central server, where they are aggregated to improve the shared model.

This approach allows for privacy-preserving machine learning, as each device keeps its data locally and only shares the information needed to improve the model.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 4951–5000 of 6771 papers

Title	Date	Tasks	Status
Where to Begin? From Random to Foundation Model Instructed Initialization in Federated Learning for Medical Image Segmentation	Nov 27, 2023	Federated LearningImage Segmentation	—Unverified
Which Client is Reliable?: A Reliable and Personalized Prompt-based Federated Learning for Medical Image Question Answering	Oct 23, 2024	Federated LearningMedical Visual Question Answering	—Unverified
Towards Understanding Generalization and Stability Gaps between Centralized and Decentralized Federated Learning	Oct 5, 2023	Federated Learningvalid	—Unverified
Whispers of Data: Unveiling Label Distributions in Federated Learning Through Virtual Client Simulation	Apr 30, 2025	Federated LearningInference Attack	—Unverified
White-box Inference Attacks against Centralized Machine Learning and Federated Learning	Dec 15, 2022	Federated LearningInference Attack	—Unverified
Why do we regularise in every iteration for imaging inverse problems?	Nov 1, 2024	Federated Learning	—Unverified
Exploring Gradient Subspaces: Addressing and Overcoming LoRA's Limitations in Federated Fine-Tuning of Large Language Models	Oct 30, 2024	Federated Learningparameter-efficient fine-tuning	—Unverified
WikiDBGraph: Large-Scale Database Graph of Wikidata for Collaborative Learning	May 22, 2025	Federated LearningRepresentation Learning	—Unverified
Will 6G be Semantic Communications? Opportunities and Challenges from Task Oriented and Secure Communications to Integrated Sensing	Jan 3, 2024	Federated LearningMulti-Task Learning	—Unverified
Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning	Oct 2, 2023	Federated Learning	—Unverified
Wind Power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach	Nov 2, 2022	Deep Reinforcement LearningFederated Learning	—Unverified
Applications of Federated Learning in Manufacturing: Identifying the Challenges and Exploring the Future Directions with Industry 4.0 and 5.0 Visions	Feb 27, 2023	Federated Learning	—Unverified
Wireless Ad Hoc Federated Learning: A Fully Distributed Cooperative Machine Learning	May 24, 2022	Autonomous VehiclesBIG-bench Machine Learning	—Unverified
Wireless Communications for Collaborative Federated Learning	Jun 3, 2020	BIG-bench Machine LearningFederated Learning	—Unverified
Wireless-Enabled Asynchronous Federated Fourier Neural Network for Turbulence Prediction in Urban Air Mobility (UAM)	Dec 26, 2021	Federated Learning	—Unverified
Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data	Jul 5, 2019	BIG-bench Machine LearningFederated Learning	—Unverified
Wireless Federated Learning over MIMO Networks: Joint Device Scheduling and Beamforming Design	Oct 31, 2021	Federated LearningScheduling	—Unverified
Wireless Federated Learning over UAV-enabled Integrated Sensing and Communication	Nov 1, 2024	Federated LearningIntegrated sensing and communication	—Unverified
Wireless Federated Learning (WFL) for 6G Networks -- Part II: The Compute-then-Transmit NOMA Paradigm	Apr 24, 2021	Federated Learning	—Unverified
Wireless Federated Learning (WFL) for 6G Networks -- Part I: Research Challenges and Future Trends	Apr 24, 2021	Federated Learning	—Unverified
Wireless Federated Learning with Limited Communication and Differential Privacy	Jun 1, 2021	Dimensionality ReductionFederated Learning	—Unverified
Wirelessly Powered Federated Learning Networks: Joint Power Transfer, Data Sensing, Model Training, and Resource Allocation	Aug 9, 2023	Federated Learning	—Unverified
Wireless Quantized Federated Learning: A Joint Computation and Communication Design	Mar 11, 2022	Federated LearningQuantization	—Unverified
Workie-Talkie: Accelerating Federated Learning by Overlapping Computing and Communications via Contrastive Regularization	Jan 1, 2023	Federated Learning	—Unverified
Worldwide Federated Training of Language Models	May 23, 2024	Federated LearningLanguage Modeling	—Unverified
WPFed: Web-based Personalized Federation for Decentralized Systems	Oct 15, 2024	Federated Learning	—Unverified
WrapperFL: A Model Agnostic Plug-in for Industrial Federated Learning	Jun 21, 2022	BIG-bench Machine LearningEnsemble Learning	—Unverified
WWFedCBMIR: World-Wide Federated Content-Based Medical Image Retrieval	May 5, 2023	Federated LearningImage Retrieval	—Unverified
Wyner-Ziv Gradient Compression for Federated Learning	Nov 16, 2021	Federated LearningQuantization	—Unverified
XAI-Driven Client Selection for Federated Learning in Scalable 6G Network Slicing	Mar 16, 2025	Federated Learning	—Unverified
XFedHunter: An Explainable Federated Learning Framework for Advanced Persistent Threat Detection in SDN	Sep 15, 2023	Federated LearningGraph Neural Network	—Unverified
XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning	Jun 9, 2020	Data AugmentationFederated Learning	—Unverified
Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data	Apr 9, 2022	Federated Learning	—Unverified
You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data	Mar 10, 2025	Federated LearningRepresentation Learning	—Unverified
Privacy Risks in Reinforcement Learning for Household Robots	Jun 15, 2023	Decision MakingFederated Learning	—Unverified
Private Networked Federated Learning for Nonsmooth Objectives	Jun 24, 2023	Federated LearningPrivacy Preserving	—Unverified
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity	Aug 4, 2022	Federated Learning	—Unverified
Zero-Knowledge Federated Learning: A New Trustworthy and Privacy-Preserving Distributed Learning Paradigm	Mar 18, 2025	Federated LearningPrivacy Preserving	—Unverified
Zero-Knowledge Proof-based Verifiable Decentralized Machine Learning in Communication Network: A Comprehensive Survey	Oct 23, 2023	ArticlesFault Detection	—Unverified
ZeroSARAH: Efficient Nonconvex Finite-Sum Optimization with Zero Full Gradient Computation	Mar 2, 2021	Federated Learning	—Unverified
ZeroSARAH: Efficient Nonconvex Finite-Sum Optimization with Zero Full Gradient Computations	Sep 29, 2021	Federated Learning	—Unverified
Zero-Shot Federated Learning with New Classes for Audio Classification	Jun 18, 2021	Audio ClassificationClassification	—Unverified
Asynchronous Message-Passing and Zeroth-Order Optimization Based Distributed Learning with a Use-Case in Resource Allocation in Communication Networks	Nov 8, 2023	Distributed OptimizationFederated Learning	—Unverified
Zero-touch realization of Pervasive Artificial Intelligence-as-a-service in 6G networks	Jul 21, 2023	Federated Learning	—Unverified
Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things	May 26, 2025	Anomaly DetectionFederated Learning	—Unverified
Zero-X: A Blockchain-Enabled Open-Set Federated Learning Framework for Zero-Day Attack Detection in IoV	Jul 3, 2024	Federated LearningIntrusion Detection	—Unverified
zkDFL: An efficient and privacy-preserving decentralized federated learning with zero-knowledge proof	Dec 1, 2023	Federated LearningPrivacy Preserving	—Unverified
zkFL: Zero-Knowledge Proof-based Gradient Aggregation for Federated Learning	Oct 4, 2023	Federated Learning	—Unverified
ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs	Jul 15, 2025	Activity RecognitionFederated Learning	—Unverified
Zone-based Federated Learning for Mobile Sensing Data	Mar 10, 2023	Activity RecognitionFederated Learning	—Unverified

Show:10 25 50

← PrevPage 100 of 136Next →

All datasets Cityscapes heterogeneous Landmarks-User-160k CIFAR-100 (alpha=0, 10 clients per round)CIFAR-100 (alpha=0, 20 clients per round)CIFAR-100 (alpha=0.5, 10 clients per round)CIFAR-100 (alpha=0.5, 20 clients per round)CIFAR-100 (alpha=0.5, 5 clients per round)CIFAR-100 (alpha=0, 5 clients per round)CIFAR-100 (alpha=1000, 10 clients per round)CIFAR-100 (alpha=1000, 20 clients per round)CIFAR-100 (alpha=1000, 5 clients per round)CIFAR100 (alpha=0.3, 10 clients per round)

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	SiloBN + ASAM	mIoU	49.75	—	Unverified
2	SiloBN + SAM	mIoU	49.1	—	Unverified
3	SiloBN	mIoU	45.96	—	Unverified
4	FedSAM + SWA	mIoU	43.42	—	Unverified
5	FedASAM + SWA	mIoU	43.02	—	Unverified
6	FedAvg + SWA	mIoU	42.48	—	Unverified
7	FedASAM	mIoU	42.27	—	Unverified
8	FedSAM	mIoU	41.22	—	Unverified
9	FedAvg	mIoU	38.65	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FedASAM + SWA	Acc@1-1262Clients	68.32	—	Unverified
2	FedSAM + SWA	Acc@1-1262Clients	68.12	—	Unverified
3	FedAvg + SWA	Acc@1-1262Clients	67.52	—	Unverified
4	FedASAM	Acc@1-1262Clients	64.23	—	Unverified
5	FedSAM	Acc@1-1262Clients	63.72	—	Unverified
6	FedAvg	Acc@1-1262Clients	61.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FedASAM + SWA	ACC@1-100Clients	42.64	—	Unverified
2	FedASAM	ACC@1-100Clients	39.76	—	Unverified
3	FedSAM + SWA	ACC@1-100Clients	39.51	—	Unverified
4	FedSAM	ACC@1-100Clients	36.93	—	Unverified
5	FedAvg	ACC@1-100Clients	36.74	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FedASAM + SWA	ACC@1-100Clients	41.62	—	Unverified
2	FedASAM	ACC@1-100Clients	40.81	—	Unverified
3	FedSAM + SWA	ACC@1-100Clients	39.24	—	Unverified
4	FedAvg	ACC@1-100Clients	38.59	—	Unverified
5	FedSAM	ACC@1-100Clients	38.56	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FedASAM + SWA	ACC@1-100Clients	48.72	—	Unverified
2	FedSAM + SWA	ACC@1-100Clients	46.76	—	Unverified
3	FedASAM	ACC@1-100Clients	46.58	—	Unverified
4	FedSAM	ACC@1-100Clients	44.84	—	Unverified
5	FedAvg	ACC@1-100Clients	41.27	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FedASAM + SWA	ACC@1-100Clients	48.27	—	Unverified
2	FedASAM	ACC@1-100Clients	47.78	—	Unverified
3	FedSAM + SWA	ACC@1-100Clients	46.47	—	Unverified
4	FedSAM	ACC@1-100Clients	46.05	—	Unverified
5	FedAvg	ACC@1-100Clients	42.17	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FedASAM + SWA	ACC@1-100Clients	49.17	—	Unverified
2	FedSAM + SWA	ACC@1-100Clients	47.96	—	Unverified
3	FedASAM	ACC@1-100Clients	45.61	—	Unverified
4	FedSAM	ACC@1-100Clients	44.73	—	Unverified
5	FedAvg	ACC@1-100Clients	40.43	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FedASAM + SWA	ACC@1-100Clients	42.01	—	Unverified
2	FedSAM + SWA	ACC@1-100Clients	39.3	—	Unverified
3	FedASAM	ACC@1-100Clients	36.04	—	Unverified
4	FedSAM	ACC@1-100Clients	31.04	—	Unverified
5	FedAvg	ACC@1-100Clients	30.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FedASAM	ACC@1-100Clients	54.97	—	Unverified
2	FedASAM + SWA	ACC@1-100Clients	54.79	—	Unverified
3	FedSAM + SWA	ACC@1-100Clients	53.67	—	Unverified
4	FedSAM	ACC@1-100Clients	53.39	—	Unverified
5	FedAvg	ACC@1-100Clients	50.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FedASAM	ACC@1-100Clients	54.5	—	Unverified
2	FedSAM + SWA	ACC@1-100Clients	54.36	—	Unverified
3	FedASAM + SWA	ACC@1-100Clients	54.1	—	Unverified
4	FedSAM	ACC@1-100Clients	53.97	—	Unverified
5	FedAvg	ACC@1-100Clients	50.66	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FedASAM	ACC@1-100Clients	54.81	—	Unverified
2	FedSAM	ACC@1-100Clients	54.01	—	Unverified
3	FedSAM + SWA	ACC@1-100Clients	53.9	—	Unverified
4	FedASAM + SWA	ACC@1-100Clients	53.86	—	Unverified
5	FedAvg	ACC@1-100Clients	49.92	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AdaBest	Average Top-1 Accuracy	56.2	—	Unverified