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 4101–4150 of 6771 papers

Title	Date	Tasks	Status
Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model	Apr 11, 2023	Federated Learning	—Unverified
Probably Approximately Correct Federated Learning	Apr 10, 2023	Federated LearningPAC learning	—Unverified
Accelerating Hybrid Federated Learning Convergence under Partial Participation	Apr 10, 2023	Federated Learning	—Unverified
Over-the-Air Federated Learning Over MIMO Channels: A Sparse-Coded Multiplexing Approach	Apr 10, 2023	Federated Learning	—Unverified
Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy	Apr 9, 2023	Federated LearningScheduling	—Unverified
FedPNN: One-shot Federated Classification via Evolving Clustering Method and Probabilistic Neural Network hybrid	Apr 9, 2023	ClusteringFederated Learning	—Unverified
Design of Two-Level Incentive Mechanisms for Hierarchical Federated Learning	Apr 9, 2023	Federated LearningVocal Bursts Valence Prediction	—Unverified
FedDiSC: A Computation-efficient Federated Learning Framework for Power Systems Disturbance and Cyber Attack Discrimination	Apr 7, 2023	Federated LearningPrivacy Preserving	—Unverified
Deep Reinforcement Learning Based Vehicle Selection for Asynchronous Federated Learning Enabled Vehicular Edge Computing	Apr 6, 2023	Deep Reinforcement LearningEdge-computing	—Unverified
IoT Federated Blockchain Learning at the Edge	Apr 6, 2023	Federated Learning	—Unverified
Learning Cautiously in Federated Learning with Noisy and Heterogeneous Clients	Apr 6, 2023	Federated Learning	—Unverified
Model-Driven Quantum Federated Learning (QFL)	Apr 5, 2023	Federated Learningmodel	—Unverified
FedBot: Enhancing Privacy in Chatbots with Federated Learning	Apr 4, 2023	ChatbotFederated Learning	—Unverified
Online Learning with Adversaries: A Differential-Inclusion Analysis	Apr 4, 2023	Federated Learning	—Unverified
A Survey on Vertical Federated Learning: From a Layered Perspective	Apr 4, 2023	Federated LearningPrivacy Preserving	—Unverified
Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation	Apr 4, 2023	Federated Learning	—Unverified
On Mitigating the Utility-Loss in Differentially Private Learning: A new Perspective by a Geometrically Inspired Kernel Approach	Apr 3, 2023	Federated LearningPrivacy Preserving	—Unverified
FedIN: Federated Intermediate Layers Learning for Model Heterogeneity	Apr 3, 2023	Federated Learningmodel	—Unverified
Federated Kalman Filter for Secure IoT-based Device Monitoring Services	Apr 3, 2023	Federated Learning	—Unverified
A Survey on Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions	Apr 2, 2023	Drug DiscoveryEdge-computing	—Unverified
FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-institutional Low-count PET Denoising	Apr 2, 2023	DenoisingFederated Learning	CodeCode Available
Distributed Optimization for Quadratic Cost Functions over Large-Scale Networks with Quantized Communication and Finite-Time Convergence	Apr 2, 2023	Distributed OptimizationFederated Learning	—Unverified
Personalized Federated Learning with Local Attention	Apr 2, 2023	Federated Learningimage-classification	—Unverified
MP-FedCL: Multiprototype Federated Contrastive Learning for Edge Intelligence	Apr 1, 2023	Contrastive LearningFederated Learning	—Unverified
Accelerating Wireless Federated Learning via Nesterov's Momentum and Distributed Principle Component Analysis	Mar 31, 2023	Federated Learning	—Unverified
Benchmarking FedAvg and FedCurv for Image Classification Tasks	Mar 31, 2023	BenchmarkingClassification	—Unverified
Federated Learning Based Multilingual Emoji Prediction In Clean and Attack Scenarios	Mar 30, 2023	Federated LearningPrediction	CodeCode Available
DPP-based Client Selection for Federated Learning with Non-IID Data	Mar 30, 2023	Federated Learning	—Unverified
Federated Learning from Heterogeneous Data via Controlled Bayesian Air Aggregation	Mar 30, 2023	Federated Learning	—Unverified
FLCC: Efficient Distributed Federated Learning on IoMT over CSMA/CA	Mar 29, 2023	ClusteringFederated Learning	—Unverified
Protecting Federated Learning from Extreme Model Poisoning Attacks via Multidimensional Time Series Anomaly Detection	Mar 29, 2023	Anomaly DetectionFederated Learning	—Unverified
Federated Learning for Heterogeneous Bandits with Unobserved Contexts	Mar 29, 2023	Federated LearningMulti-Armed Bandits	—Unverified
Federated Learning in MIMO Satellite Broadcast System	Mar 29, 2023	Federated Learning	—Unverified
Fair Federated Medical Image Segmentation via Client Contribution Estimation	Mar 29, 2023	FairnessFederated Learning	—Unverified
On the Local Cache Update Rules in Streaming Federated Learning	Mar 28, 2023	Federated Learningimage-classification	—Unverified
Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples	Mar 28, 2023	Federated LearningVertical Federated Learning	—Unverified
A Comparative Study of Federated Learning Models for COVID-19 Detection	Mar 28, 2023	Federated LearningMedical Image Analysis	—Unverified
FedAgg: Adaptive Federated Learning with Aggregated Gradients	Mar 28, 2023	Federated Learning	—Unverified
FeDiSa: A Semi-asynchronous Federated Learning Framework for Power System Fault and Cyberattack Discrimination	Mar 28, 2023	Federated LearningIntrusion Detection	—Unverified
Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties	Mar 28, 2023	Federated LearningVertical Federated Learning	—Unverified
Personalized Federated Learning on Long-Tailed Data via Adversarial Feature Augmentation	Mar 27, 2023	Federated LearningPersonalized Federated Learning	CodeCode Available
Neural Collapse Inspired Federated Learning with Non-iid Data	Mar 27, 2023	Federated Learning	—Unverified
Asynchronous Online Federated Learning with Reduced Communication Requirements	Mar 27, 2023	Federated Learning	—Unverified
Unimodal Training-Multimodal Prediction: Cross-modal Federated Learning with Hierarchical Aggregation	Mar 27, 2023	DecoderFederated Learning	—Unverified
Adaptive Federated Learning via New Entropy Approach	Mar 27, 2023	Federated Learning	—Unverified
The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning	Mar 27, 2023	Federated Learning	—Unverified
Efficient Parallel Split Learning over Resource-constrained Wireless Edge Networks	Mar 26, 2023	Edge-computingFederated Learning	—Unverified
Green Federated Learning	Mar 26, 2023	Federated Learning	—Unverified
Edge Selection and Clustering for Federated Learning in Optical Inter-LEO Satellite Constellation	Mar 25, 2023	ClusteringEarth Observation	—Unverified
Dealing With Heterogeneous 3D MR Knee Images: A Federated Few-Shot Learning Method With Dual Knowledge Distillation	Mar 25, 2023	Federated LearningFew-Shot Learning	CodeCode Available

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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