SOTAVerified

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

Showing 10511100 of 6771 papers

TitleStatusHype
Tackling Data Heterogeneity in Federated Time Series Forecasting0
FedQP: Towards Accurate Federated Learning using Quadratic Programming Guided Mutation0
Modality Alignment Meets Federated Broadcasting0
eFedLLM: Efficient LLM Inference Based on Federated Learning0
Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data SourcesCode0
Partial Knowledge Distillation for Alleviating the Inherent Inter-Class Discrepancy in Federated Learning0
Federated PCA and Estimation for Spiked Covariance Matrices: Optimal Rates and Efficient Algorithm0
FedMLLM: Federated Fine-tuning MLLM on Multimodal Heterogeneity DataCode1
LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement0
Geminio: Language-Guided Gradient Inversion Attacks in Federated LearningCode0
Memory Backdoor Attacks on Neural Networks0
REFOL: Resource-Efficient Federated Online Learning for Traffic Flow ForecastingCode0
Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization0
FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous VehiclesCode0
On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game PerspectiveCode0
NCAirFL: CSI-Free Over-the-Air Federated Learning Based on Non-Coherent Detection0
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions0
Attribute Inference Attacks for Federated Regression TasksCode0
Hyper-parameter Optimization for Federated Learning with Step-wise Adaptive Mechanism0
DeTrigger: A Gradient-Centric Approach to Backdoor Attack Mitigation in Federated Learning0
Federated Contrastive Learning of Graph-Level Representations0
Towards Federated Graph Learning in One-shot Communication0
Freezing of Gait Detection Using Gramian Angular Fields and Federated Learning from Wearable SensorsCode0
FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning0
A Potential Game Perspective in Federated LearningCode0
F^3OCUS -- Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics0
Efficient Federated Unlearning with Adaptive Differential Privacy Preservation0
Federated Learning for UAV-Based Spectrum Sensing: Enhancing Accuracy Through SNR-Weighted Model Aggregation0
FedUHB: Accelerating Federated Unlearning via Polyak Heavy Ball Method0
How to Defend Against Large-scale Model Poisoning Attacks in Federated Learning: A Vertical Solution0
FedCL-Ensemble Learning: A Framework of Federated Continual Learning with Ensemble Transfer Learning Enhanced for Alzheimer's MRI Classifications while Preserving Privacy0
FedAli: Personalized Federated Learning with Aligned Prototypes through Optimal TransportCode0
Electrical Load Forecasting in Smart Grid: A Personalized Federated Learning Approach0
Evidential Federated Learning for Skin Lesion Image Classification0
Embedding Byzantine Fault Tolerance into Federated Learning via Virtual Data-Driven Consistency Scoring PluginCode0
Artificial Intelligence in Pediatric Echocardiography: Exploring Challenges, Opportunities, and Clinical Applications with Explainable AI and Federated Learning0
Framework for Co-distillation Driven Federated Learning to Address Class Imbalance in HealthcareCode0
FedRewind: Rewinding Continual Model Exchange for Decentralized Federated Learning0
Towards efficient compression and communication for prototype-based decentralized learning0
Time-constrained Federated Learning (FL) in Push-Pull IoT Wireless Access0
FedSub: Introducing class-aware Subnetworks Fusion to Enhance Personalized Federated Learning in Ubiquitous Systems0
SAFELOC: Overcoming Data Poisoning Attacks in Heterogeneous Federated Machine Learning for Indoor Localization0
Federated Low-Rank Adaptation with Differential Privacy over Wireless Networks0
Federated Learning for Discrete Optimal Transport with Large Population under Incomplete Information0
On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradients0
A Stochastic Optimization Framework for Private and Fair Learning From Decentralized DataCode0
Collaborative and Federated Black-box Optimization: A Bayesian Optimization Perspective0
Dual-Criterion Model Aggregation in Federated Learning: Balancing Data Quantity and Quality0
Efficient Federated Finetuning of Tiny Transformers with Resource-Constrained Devices0
Movable Antenna-Aided Federated Learning with Over-the-Air Aggregation: Joint Optimization of Positioning, Beamforming, and User Selection0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SiloBN + ASAMmIoU49.75Unverified
2SiloBN + SAMmIoU49.1Unverified
3SiloBNmIoU45.96Unverified
4FedSAM + SWAmIoU43.42Unverified
5FedASAM + SWAmIoU43.02Unverified
6FedAvg + SWAmIoU42.48Unverified
7FedASAMmIoU42.27Unverified
8FedSAMmIoU41.22Unverified
9FedAvgmIoU38.65Unverified
#ModelMetricClaimedVerifiedStatus
1FedASAM + SWAAcc@1-1262Clients68.32Unverified
2FedSAM + SWAAcc@1-1262Clients68.12Unverified
3FedAvg + SWAAcc@1-1262Clients67.52Unverified
4FedASAMAcc@1-1262Clients64.23Unverified
5FedSAMAcc@1-1262Clients63.72Unverified
6FedAvgAcc@1-1262Clients61.91Unverified
#ModelMetricClaimedVerifiedStatus
1FedASAM + SWAACC@1-100Clients42.64Unverified
2FedASAMACC@1-100Clients39.76Unverified
3FedSAM + SWAACC@1-100Clients39.51Unverified
4FedSAMACC@1-100Clients36.93Unverified
5FedAvgACC@1-100Clients36.74Unverified
#ModelMetricClaimedVerifiedStatus
1FedASAM + SWAACC@1-100Clients41.62Unverified
2FedASAMACC@1-100Clients40.81Unverified
3FedSAM + SWAACC@1-100Clients39.24Unverified
4FedAvgACC@1-100Clients38.59Unverified
5FedSAMACC@1-100Clients38.56Unverified
#ModelMetricClaimedVerifiedStatus
1FedASAM + SWAACC@1-100Clients48.72Unverified
2FedSAM + SWAACC@1-100Clients46.76Unverified
3FedASAMACC@1-100Clients46.58Unverified
4FedSAMACC@1-100Clients44.84Unverified
5FedAvgACC@1-100Clients41.27Unverified
#ModelMetricClaimedVerifiedStatus
1FedASAM + SWAACC@1-100Clients48.27Unverified
2FedASAMACC@1-100Clients47.78Unverified
3FedSAM + SWAACC@1-100Clients46.47Unverified
4FedSAMACC@1-100Clients46.05Unverified
5FedAvgACC@1-100Clients42.17Unverified
#ModelMetricClaimedVerifiedStatus
1FedASAM + SWAACC@1-100Clients49.17Unverified
2FedSAM + SWAACC@1-100Clients47.96Unverified
3FedASAMACC@1-100Clients45.61Unverified
4FedSAMACC@1-100Clients44.73Unverified
5FedAvgACC@1-100Clients40.43Unverified
#ModelMetricClaimedVerifiedStatus
1FedASAM + SWAACC@1-100Clients42.01Unverified
2FedSAM + SWAACC@1-100Clients39.3Unverified
3FedASAMACC@1-100Clients36.04Unverified
4FedSAMACC@1-100Clients31.04Unverified
5FedAvgACC@1-100Clients30.25Unverified
#ModelMetricClaimedVerifiedStatus
1FedASAMACC@1-100Clients54.97Unverified
2FedASAM + SWAACC@1-100Clients54.79Unverified
3FedSAM + SWAACC@1-100Clients53.67Unverified
4FedSAMACC@1-100Clients53.39Unverified
5FedAvgACC@1-100Clients50.25Unverified
#ModelMetricClaimedVerifiedStatus
1FedASAMACC@1-100Clients54.5Unverified
2FedSAM + SWAACC@1-100Clients54.36Unverified
3FedASAM + SWAACC@1-100Clients54.1Unverified
4FedSAMACC@1-100Clients53.97Unverified
5FedAvgACC@1-100Clients50.66Unverified
#ModelMetricClaimedVerifiedStatus
1FedASAMACC@1-100Clients54.81Unverified
2FedSAMACC@1-100Clients54.01Unverified
3FedSAM + SWAACC@1-100Clients53.9Unverified
4FedASAM + SWAACC@1-100Clients53.86Unverified
5FedAvgACC@1-100Clients49.92Unverified
#ModelMetricClaimedVerifiedStatus
1AdaBestAverage Top-1 Accuracy56.2Unverified