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 1851–1900 of 6771 papers

Title	Date	Tasks	Status
Can collaborative learning be private, robust and scalable?	May 5, 2022	Adversarial RobustnessFederated Learning	—Unverified
An Innovative Networks in Federated Learning	May 28, 2024	Computational EfficiencyFederated Learning	—Unverified
ADMarker: A Multi-Modal Federated Learning System for Monitoring Digital Biomarkers of Alzheimer's Disease	Oct 23, 2023	Federated LearningPrivacy Preserving	—Unverified
Cali3F: Calibrated Fast Fair Federated Recommendation System	May 26, 2022	FairnessFederated Learning	—Unverified
An Information Theoretic Perspective on Conformal Prediction	May 3, 2024	Conformal PredictionFederated Learning	—Unverified
CAFe: Cost and Age aware Federated Learning	May 24, 2024	Federated Learning	—Unverified
An Information-Theoretic Analysis of The Cost of Decentralization for Learning and Inference Under Privacy Constraints	Oct 11, 2021	Federated LearningVertical Federated Learning	—Unverified
A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret	Jan 21, 2023	Federated LearningStochastic Optimization	—Unverified
A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification	Oct 12, 2023	Federated LearningQuantization	—Unverified
Conditioning on Local Statistics for Scalable Heterogeneous Federated Learning	Mar 1, 2025	Federated Learning	—Unverified
Load Balancing in Federated Learning	Aug 1, 2024	Decision MakingFairness	—Unverified
CAFE: Catastrophic Data Leakage in Federated Learning	Jan 1, 2021	Federated Learning	—Unverified
An Information-Theoretic Analysis for Federated Learning under Concept Drift	Jun 26, 2025	Federated Learning	—Unverified
CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers	Nov 6, 2023	Federated Learning	—Unverified
Caesar: A Low-deviation Compression Approach for Efficient Federated Learning	Dec 28, 2024	Federated Learning	—Unverified
An Incentive Mechanism for Federated Learning Based on Multiple Resource Exchange	Dec 13, 2023	Federated Learning	—Unverified
CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning	May 28, 2025	FairnessFederated Learning	—Unverified
An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach	Sep 22, 2020	BIG-bench Machine LearningFederated Learning	—Unverified
CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balance	Apr 19, 2024	Federated Learning	—Unverified
A Distributed Cubic-Regularized Newton Method for Smooth Convex Optimization over Networks	Jul 7, 2020	Federated Learning	—Unverified
A Communication and Computation Efficient Fully First-order Method for Decentralized Bilevel Optimization	Oct 18, 2024	Bilevel OptimizationFederated Learning	—Unverified
Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning	Aug 21, 2022	Federated Learningimage-classification	—Unverified
An Experimental Study of Data Heterogeneity in Federated Learning Methods for Medical Imaging	Jul 18, 2021	Federated LearningPrivacy Preserving	—Unverified
Embedded Federated Feature Selection with Dynamic Sparse Training: Balancing Accuracy-Cost Tradeoffs	Apr 7, 2025	Computational Efficiencyfeature selection	—Unverified
Eliminating Label Leakage in Tree-Based Vertical Federated Learning	Jul 19, 2023	Federated LearningInference Attack	—Unverified
An Experimental Study of Class Imbalance in Federated Learning	Sep 9, 2021	BIG-bench Machine LearningFederated Learning	—Unverified
A Distributed Computation Model Based on Federated Learning Integrates Heterogeneous models and Consortium Blockchain for Solving Time-Varying Problems	Jun 28, 2023	Federated Learning	—Unverified
Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging	Sep 11, 2019	BIG-bench Machine LearningFederated Learning	—Unverified
Byzantine-Robust Federated Linear Bandits	Apr 3, 2022	Federated Learning	—Unverified
An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning	Feb 14, 2023	Federated Learning	—Unverified
Byzantine-Robust Federated Learning with Variance Reduction and Differential Privacy	Sep 7, 2023	Federated Learning	—Unverified
EFMVFL: An Efficient and Flexible Multi-party Vertical Federated Learning without a Third Party	Jan 17, 2022	Federated Learningregression	—Unverified
Anti-Matthew FL: Bridging the Performance Gap in Federated Learning to Counteract the Matthew Effect	Sep 28, 2023	FairnessFederated Learning	—Unverified
An Expectation-Maximization Perspective on Federated Learning	Nov 19, 2021	Federated Learning	—Unverified
A Distributed Approach to Meteorological Predictions: Addressing Data Imbalance in Precipitation Prediction Models through Federated Learning and GANs	Oct 19, 2023	Data AugmentationFederated Learning	—Unverified
A collaborative ensemble construction method for federated random forest	Jul 27, 2024	Federated Learning	—Unverified
Protecting Federated Learning from Extreme Model Poisoning Attacks via Multidimensional Time Series Anomaly Detection	Mar 29, 2023	Anomaly DetectionFederated Learning	—Unverified
Efficient Zero-Order Federated Finetuning of Language Models for Resource-Constrained Devices	Feb 14, 2025	Federated Learning	—Unverified
Efficient Vertical Federated Learning with Secure Aggregation	May 18, 2023	Federated LearningFraud Detection	—Unverified
Elastic Aggregation for Federated Optimization	Jan 1, 2023	Federated LearningPrivacy Preserving	—Unverified
Elastically-Constrained Meta-Learner for Federated Learning	Jun 29, 2023	Federated LearningMeta-Learning	—Unverified
Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation	Dec 28, 2024	Brain Tumor SegmentationFederated Learning	—Unverified
Electrical Load Forecasting in Smart Grid: A Personalized Federated Learning Approach	Nov 15, 2024	Federated LearningLoad Forecasting	—Unverified
Electrical Load Forecasting over Multihop Smart Metering Networks with Federated Learning	Feb 24, 2025	Federated LearningLoad Forecasting	—Unverified
Byzantine-Robust Federated Learning via Credibility Assessment on Non-IID Data	Sep 6, 2021	Anomaly DetectionFederated Learning	—Unverified
Efficient Unbiased Sparsification	Feb 22, 2024	Federated Learning	—Unverified
Byzantine-robust Federated Learning through Spatial-temporal Analysis of Local Model Updates	Jul 3, 2021	Federated Learning	—Unverified
A new type of federated clustering: A non-model-sharing approach	Jun 11, 2025	ClusteringFederated Learning	—Unverified
Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange	Aug 4, 2022	Contrastive LearningFederated Learning	—Unverified
Efficient UAV Swarm-Based Multi-Task Federated Learning with Dynamic Task Knowledge Sharing	Mar 12, 2025	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