awesome-federated-learning
github.com/chanchichoi/awesome-federated-learning ↗federated-learning
88
GitHub Stars
2.2k
Curated Resources
38
Categories
2 hours ago
Last Refreshed
Introduction && SurveyDistributed OptimizationNon-IID and Model PersonalizationSemi-Supervised LearningVertical Federated LearningHierarchical Federated Learning && Horizontal Federated LearningDecentralized Federated LearningFederated Transfer LearningNeural Architecture SearchContinual LearningReinforcement Learning && RoboticsBayesian LearningAdversarial-Attack-and-DefensePrivacy && Homomorphic EncryptionIncentive Mechanism && FairnessCommunication-EfficiencyStraggler ProblemComputation EfficiencyWireless Communication && Cloud Computing && networkingSystem DesignModelsNatural language ProcessingComputer VisionHealth CareTransportationRecommendation SystemSpeech RecognitionFinance && BlockchainSmart City && Other ApplicationsUncategorizedBlogs && TutorialsFrameworkProjectsDatasets && BenchmarkScholarsConferences and WorkshopsCompany参考来源
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Installation instructions →What's inside
Uncategorized
- 1-Bit Compressive Sensing for Efficient Federated Learning Over the Air2021
- 2CP: Decentralized Protocols to Transparently Evaluate Contributivity in Blockchain Federated Learning Environments2020
- A Bayesian Federated Learning Framework with Multivariate Gaussian Product2021
- ABC-FL: Anomalous and Benign client Classification in Federated Learning2021
- A Blockchain based Federated Learning for Message Dissemination in Vehicular Networks2021
- Accelerating Federated Edge Learning via Optimized Probabilistic Device Scheduling2021
Blogs && Tutorials
Communication-Efficiency
Wireless Communication && Cloud Computing && networking
- A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus
- Active Federated Learning
- Active learning solution on distributed edge computing
- Adaptive Federated Learning With Gradient Compression in Uplink NOMA
- Adaptive Task Allocation for Asynchronous Federated Mobile Edge Learning
- A Federated Learning Approach for Mobile Packet Classification
Health Care
Adversarial-Attack-and-Defense
- Abnormal Client Behavior Detection in Federated Learning
- A Framework for Evaluating Gradient Leakage Attacks in Federated Learning
- A Little Is Enough: Circumventing Defenses For Distributed Learning.
- An End-to-End Encrypted Neural Network for Gradient Updates Transmission in Federated Learning
- An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies
- Attack-Resistant Federated Learning with Residual-based Reweighting
Computation Efficiency
Distributed Optimization
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