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 5101–5150 of 6771 papers

Title	Date	Tasks	Status
A Comparative Study of Federated Learning Models for COVID-19 Detection	Mar 28, 2023	Federated LearningMedical Image Analysis	—Unverified
A Comparative Study of Sampling Methods with Cross-Validation in the FedHome Framework	Jun 4, 2024	Federated Learning	—Unverified
A Comprehensive Review of Techniques, Algorithms, Advancements, Challenges, and Clinical Applications of Multi-modal Medical Image Fusion for Improved Diagnosis	May 18, 2025	AnatomyComputational Efficiency	—Unverified
A Comprehensive Review on Understanding the Decentralized and Collaborative Approach in Machine Learning	Mar 12, 2025	Federated Learning	—Unverified
A Comprehensive Study on Model Initialization Techniques Ensuring Efficient Federated Learning	Oct 31, 2023	Federated LearningPrivacy Preserving	—Unverified
A Comprehensive Survey of Federated Transfer Learning: Challenges, Methods and Applications	Mar 3, 2024	Federated LearningSurvey	—Unverified
A Comprehensive Survey of Incentive Mechanism for Federated Learning	Jun 27, 2021	Federated LearningSurvey	—Unverified
A Comprehensive Survey on Architectural Advances in Deep CNNs: Challenges, Applications, and Emerging Research Directions	Mar 19, 2025	Action RecognitionComputational Efficiency	—Unverified
A Comprehensive Survey On Client Selections in Federated Learning	Nov 12, 2023	Federated LearningSurvey	—Unverified
A Comprehensive Survey on Federated Learning: Concept and Applications	Jan 23, 2022	Federated LearningSurvey	—Unverified
A Comprehensive Survey on Joint Resource Allocation Strategies in Federated Edge Learning	Oct 10, 2024	Federated Learning	—Unverified
A Comprehensive Survey on Underwater Acoustic Target Positioning and Tracking: Progress, Challenges, and Perspectives	Jun 17, 2025	Federated Learningreinforcement-learning	—Unverified
A Computation and Communication Efficient Method for Distributed Nonconvex Problems in the Partial Participation Setting	May 31, 2022	Distributed OptimizationFederated Learning	—Unverified
A Contract Theory based Incentive Mechanism for Federated Learning	Aug 12, 2021	Federated Learning	—Unverified
A Contribution-based Device Selection Scheme in Federated Learning	Mar 10, 2022	Federated Learning	—Unverified
A Convergence Theory for Federated Average: Beyond Smoothness	Nov 3, 2022	Edge-computingFederated Learning	—Unverified
A Crowdsourcing Framework for On-Device Federated Learning	Nov 4, 2019	Federated Learning	—Unverified
Act in Collusion: A Persistent Distributed Multi-Target Backdoor in Federated Learning	Nov 6, 2024	Backdoor AttackFederated Learning	—Unverified
Active Federated Learning	Sep 27, 2019	Federated Learning	—Unverified
ODES: Domain Adaptation with Expert Guidance for Online Medical Image Segmentation	Dec 8, 2023	Active LearningDomain Adaptation	—Unverified
Active Learning Solution on Distributed Edge Computing	Jun 25, 2019	Active LearningEdge-computing	—Unverified
Active-Passive Federated Learning for Vertically Partitioned Multi-view Data	Sep 6, 2024	Federated LearningVertical Federated Learning	—Unverified
ActPerFL: Active Personalized Federated Learning	May 1, 2022	Federated LearningPersonalized Federated Learning	—Unverified
A Cyber Threat Intelligence Sharing Scheme based on Federated Learning for Network Intrusion Detection	Nov 4, 2021	Federated LearningIntrusion Detection	—Unverified
AdaFed: Fair Federated Learning via Adaptive Common Descent Direction	Jan 10, 2024	Federated Learning	—Unverified
AdaFedFR: Federated Face Recognition with Adaptive Inter-Class Representation Learning	May 22, 2024	Face ModelFace Recognition	—Unverified
AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity	Jan 22, 2024	Federated LearningGraph Learning	—Unverified
Adap DP-FL: Differentially Private Federated Learning with Adaptive Noise	Nov 29, 2022	Federated Learning	—Unverified
Adapter-based Selective Knowledge Distillation for Federated Multi-domain Meeting Summarization	Aug 7, 2023	Federated LearningKnowledge Distillation	—Unverified
AdapterFL: Adaptive Heterogeneous Federated Learning for Resource-constrained Mobile Computing Systems	Nov 23, 2023	Federated Learning	—Unverified
Adapting MLOps for Diverse In-Network Intelligence in 6G Era: Challenges and Solutions	Oct 24, 2024	Federated LearningManagement	—Unverified
Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI	Oct 29, 2024	Federated LearningMRI segmentation	—Unverified
Adaptive Biased User Scheduling for Heterogeneous Wireless Federate Learning Network	May 8, 2025	Deep Reinforcement LearningFederated Learning	—Unverified
Adaptive Channel Sparsity for Federated Learning Under System Heterogeneity	Jan 1, 2023	Federated Learning	—Unverified
Adaptive Client Selection in Federated Learning: A Network Anomaly Detection Use Case	Jan 25, 2025	Anomaly DetectionFederated Learning	—Unverified
Adaptive Coded Federated Learning: Privacy Preservation and Straggler Mitigation	Mar 22, 2024	Federated Learning	—Unverified
Adaptive Control of Client Selection and Gradient Compression for Efficient Federated Learning	Dec 19, 2022	Federated Learning	—Unverified
Adaptive Deadline and Batch Layered Synchronized Federated Learning	May 29, 2025	Federated Learning	—Unverified
Adaptive Decentralized Federated Learning in Energy and Latency Constrained Wireless Networks	Mar 29, 2024	Federated Learning	—Unverified
Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning	Apr 9, 2022	Federated Learning	—Unverified
Adaptive Differential Privacy in Federated Learning: A Priority-Based Approach	Jan 4, 2024	Federated Learning	—Unverified
Adaptive Digital Twin and Communication-Efficient Federated Learning Network Slicing for 5G-enabled Internet of Things	Jun 22, 2024	Decision MakingDemand Forecasting	—Unverified
Adaptive Distillation for Decentralized Learning from Heterogeneous Clients	Aug 18, 2020	Federated Learning	—Unverified
Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient	Jun 13, 2021	Federated LearningModel Compression	—Unverified
Adaptive Federated Dropout: Improving Communication Efficiency and Generalization for Federated Learning	Nov 8, 2020	BIG-bench Machine LearningFederated Learning	—Unverified
Adaptive Federated Learning and Digital Twin for Industrial Internet of Things	Oct 25, 2020	ClusteringDeep Reinforcement Learning	—Unverified
Adaptive Federated Learning in Heterogeneous Wireless Networks with Independent Sampling	Feb 15, 2024	Federated Learning	—Unverified
Adaptive Federated Learning Over the Air	Mar 11, 2024	Federated Learning	—Unverified
Adaptive Federated Learning via New Entropy Approach	Mar 27, 2023	Federated Learning	—Unverified
Adaptive Federated Minimax Optimization with Lower Complexities	Nov 14, 2022	Federated LearningPrivacy Preserving	—Unverified

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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