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 3701–3750 of 6771 papers

Title	Date	Tasks	Status
SoK: On Gradient Leakage in Federated Learning	Apr 8, 2024	Federated LearningMisconceptions	—Unverified
SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation	Dec 6, 2020	BIG-bench Machine LearningFederated Learning	—Unverified
SoK: Verifiable Cross-Silo FL	Oct 11, 2024	Federated Learning	—Unverified
Unified theoretical guarantees for stability, consistency, and convergence in neural PDE solvers from non-IID data to physics-informed networks	Sep 8, 2024	Federated Learning	—Unverified
Sotto Voce: Federated Speech Recognition with Differential Privacy Guarantees	Jul 16, 2022	Federated Learningspeech-recognition	—Unverified
SPAM: Stochastic Proximal Point Method with Momentum Variance Reduction for Non-convex Cross-Device Federated Learning	May 30, 2024	Federated Learning	—Unverified
Sparse Federated Learning with Hierarchical Personalized Models	Mar 25, 2022	Autonomous VehiclesFederated Learning	—Unverified
Sparse Federated Training of Object Detection in the Internet of Vehicles	Sep 7, 2023	Federated LearningObject	—Unverified
Sparse Incremental Aggregation in Multi-Hop Federated Learning	Jul 25, 2024	Federated Learning	—Unverified
Sparse Incremental Aggregation in Satellite Federated Learning	Jan 20, 2025	Federated Learning	—Unverified
Communication-Efficient Federated Learning via Regularized Sparse Random Networks	Sep 19, 2023	Federated Learning	—Unverified
Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0	Jul 10, 2025	Federated LearningPrivacy Preserving	—Unverified
Sparse Training for Federated Learning with Regularized Error Correction	Dec 21, 2023	Federated Learning	—Unverified
Sparsification Under Siege: Defending Against Poisoning Attacks in Communication-Efficient Federated Learning	Apr 30, 2025	Federated Learning	—Unverified
Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization	Aug 1, 2020	Federated Learning	—Unverified
Sparsified Secure Aggregation for Privacy-Preserving Federated Learning	Dec 23, 2021	Federated LearningPrivacy Preserving	—Unverified
Spatio-Temporal Federated Learning for Massive Wireless Edge Networks	Oct 27, 2021	Federated Learning	—Unverified
SPEAR:Exact Gradient Inversion of Batches in Federated Learning	Mar 6, 2024	Federated LearningGPU	—Unverified
Spectrum Breathing: Protecting Over-the-Air Federated Learning Against Interference	May 10, 2023	Federated Learning	—Unverified
Speech Privacy Leakage from Shared Gradients in Distributed Learning	Feb 21, 2023	Federated LearningKeyword Spotting	—Unverified
SPEFL: Efficient Security and Privacy Enhanced Federated Learning Against Poisoning Attacks	Jan 1, 2023	Federated LearningPrivacy Preserving	—Unverified
SphereFed: Hyperspherical Federated Learning	Jul 19, 2022	Federated Learning	—Unverified
SPIDER: Searching Personalized Neural Architecture for Federated Learning	Dec 27, 2021	Federated LearningNeural Architecture Search	—Unverified
Spikewhisper: Temporal Spike Backdoor Attacks on Federated Neuromorphic Learning over Low-power Devices	Mar 27, 2024	Federated Learning	—Unverified
Spiking Neural Networks in Vertical Federated Learning: Performance Trade-offs	Jul 24, 2024	Federated LearningVertical Federated Learning	—Unverified
Spiking Neural Networks -- Part III: Neuromorphic Communications	Oct 27, 2020	Federated Learning	—Unverified
SPIN: Simulated Poisoning and Inversion Network for Federated Learning-Based 6G Vehicular Networks	Nov 21, 2022	Federated LearningGenerative Adversarial Network	—Unverified
SPIRE: Conditional Personalization for Federated Diffusion Generative Models	Jun 14, 2025	Federated Learning	—Unverified
SplitAMC: Split Learning for Robust Automatic Modulation Classification	Apr 17, 2023	ClassificationFederated Learning	—Unverified
Split Federated Learning on Micro-controllers: A Keyword Spotting Showcase	Oct 4, 2022	Federated LearningKeyword Spotting	—Unverified
Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization	Nov 21, 2024	Federated Learning	—Unverified
Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance	Sep 19, 2021	Federated Learningimage-classification	—Unverified
SplitFed resilience to packet loss: Where to split, that is the question	Jul 25, 2023	Federated Learning	—Unverified
SplitGNN: Splitting GNN for Node Classification with Heterogeneous Attention	Jan 27, 2023	ClassificationFederated Learning	—Unverified
SplitGP: Achieving Both Generalization and Personalization in Federated Learning	Dec 16, 2022	Federated Learning	—Unverified
Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics	Aug 21, 2023	Computational EfficiencyDeep Learning	—Unverified
Split Learning in 6G Edge Networks	Jun 21, 2023	Edge-computingFederated Learning	—Unverified
SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models	Jul 1, 2024	Federated Learningparameter-efficient fine-tuning	—Unverified
Split-n-Chain: Privacy-Preserving Multi-Node Split Learning with Blockchain-Based Auditability	Mar 10, 2025	Deep LearningFederated Learning	—Unverified
Split Two-Tower Model for Efficient and Privacy-Preserving Cross-device Federated Recommendation	Jun 28, 2022	Federated LearningPrivacy Preserving	—Unverified
Sporadic Federated Learning Approach in Quantum Environment to Tackle Quantum Noise	Jul 15, 2025	Federated Learning	—Unverified
SPriFed-OMP: A Differentially Private Federated Learning Algorithm for Sparse Basis Recovery	Feb 29, 2024	Federated Learning	—Unverified
sqSGD: Locally Private and Communication Efficient Federated Learning	Jun 21, 2022	Federated LearningPrivacy Preserving	—Unverified
Sself: Robust Federated Learning against Stragglers and Adversaries	Jan 1, 2021	Data PoisoningFederated Learning	—Unverified
SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision	Oct 6, 2021	Federated LearningPersonalized Federated Learning	—Unverified
Stabilizing and Improving Federated Learning with Non-IID Data and Client Dropout	Mar 11, 2023	Federated Learning	—Unverified
Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data	May 13, 2024	Data AugmentationFederated Learning	—Unverified
StableFDG: Style and Attention Based Learning for Federated Domain Generalization	Nov 1, 2023	DiversityDomain Generalization	—Unverified
Stackelberg Game Based Performance Optimization in Digital Twin Assisted Federated Learning over NOMA Networks	Jan 3, 2025	Federated LearningProblem Decomposition	—Unverified
Stalactite: Toolbox for Fast Prototyping of Vertical Federated Learning Systems	Sep 23, 2024	Federated LearningVertical Federated Learning	—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