Vertical Federated Learning
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/AI-and-Blockchain/F23_HealthFederated
공식 코드A Differentially Private Blockchain-Based Approach for Vertical Federated Learning
https://github.com/Koukyosyumei/AIJack
공식 코드Flexible Differentially Private Vertical Federated Learning with Adaptive Feature Embeddings
https://github.com/OpenMined/PyVertical
공식 코드PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN
https://github.com/Xtra-Computing/VertiBench
공식 코드VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks
https://github.com/ZhenanFanUBC/FairVFL.jl
공식 코드https://github.com/adis98/stv
공식 코드Share Secrets for Privacy: Confidential Forecasting with Vertical Federated Learning
https://github.com/ai-secure/vfl-admm
공식 코드Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM
https://github.com/alibaba-edu/mpc4j
공식 코드OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization
https://github.com/andron00e/jast
공식 코드Just a Simple Transformation is Enough for Data Protection in Vertical Federated Learning
https://github.com/blingcho/vflip-esorics24
공식 코드VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purification
https://github.com/chung-ju/unitrans
공식 코드https://github.com/crownpku/federated_shap
공식 코드https://github.com/cuiyuebing/vfl_ce
공식 코드A Survey on Contribution Evaluation in Vertical Federated Learning
https://github.com/derafael/cafe
공식 코드CAFE: Catastrophic Data Leakage in Vertical Federated Learning
https://github.com/duanyiyao/urvfl
공식 코드URVFL: Undetectable Data Reconstruction Attack on Vertical Federated Learning
https://github.com/fedlearnAI/fedlearn-algo
공식 코드Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform
https://github.com/flair-thu/vflair
공식 코드VFLAIR: A Research Library and Benchmark for Vertical Federated Learning
https://github.com/haoyuzhao123/coreset-vfl-codes
공식 코드Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$-Means Clustering
https://github.com/hgh0545/NA2
공식 코드Query-Efficient Adversarial Attack Against Vertical Federated Graph Learning
https://github.com/hgh0545/graph-fraudster
공식 코드Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based Vertical Federated Learning
https://github.com/jerrylife/fedonce
공식 코드Practical Vertical Federated Learning with Unsupervised Representation Learning
https://github.com/jorghyq2016/fedhssl
공식 코드A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning
https://github.com/mengde-han/vfl-unlearn
공식 코드https://github.com/merce-fra/Reliable-VFL-in-5G-Core-NW-Arch
공식 코드Reliable Vertical Federated Learning in 5G Core Network Architecture
https://github.com/p3eft-iclr-2025/p3eft-iclr-2025
공식 코드Label Privacy in Split Learning for Large Models with Parameter-Efficient Training
https://github.com/shentt67/VFL_Survey
공식 코드Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey
https://github.com/taoqi98/fairvfl
공식 코드FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning
https://github.com/valdeira/ef-vfl
공식 코드Communication-efficient Vertical Federated Learning via Compressed Error Feedback
https://github.com/valdeira/laser-vfl
공식 코드Vertical Federated Learning with Missing Features During Training and Inference
https://github.com/wangln19/vertical-federated-unlearning
공식 코드https://github.com/xiehahha/aaai_ppai23_split_learning_leakage
공식 코드Label Inference Attack against Split Learning under Regression Setting
https://github.com/xj231/featureinference-vfl
공식 코드Feature Inference Attack on Model Predictions in Vertical Federated Learning
https://github.com/xtra-computing/fedsim
공식 코드A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning
https://github.com/xtra-computing/fet
공식 코드Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data
https://github.com/yankang18/FedCVT
공식 코드FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.