hgh0545 / Graph-Fraudster
☆12Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Graph-Fraudster
- [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing☆58Updated last year
- FedGS: Federated Graph-based Sampling with Arbitrary Client Availability, arxiv.org/abs/2211.13975) was accepted by AAAI 2023 Conference.☆16Updated last year
- ☆15Updated 3 months ago
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…☆22Updated last month
- SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.☆44Updated 2 years ago
- Official Code for FedGCN [NeurIPS 2023]☆59Updated 6 months ago
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆61Updated 4 years ago
- The code for paper "Cross Platforms Linguals and Models Social Bot Detection via Federated Adversarial Contrastive Knowledge Distillation…☆16Updated last year
- [ICML 2023] Optimizing the Collaboration Structure in Cross-Silo Federated Learning. Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He.☆16Updated last year
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆38Updated last week
- Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)☆71Updated 2 years ago
- Communication-Efficient Feature-based Federated Transfer Learning☆12Updated 5 months ago
- Official Code Repository for the paper - Personalized Subgraph Federated Learning (ICML 2023)☆44Updated last year
- ☆31Updated 2 years ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆38Updated last year
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆42Updated last year
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆55Updated last year
- This repository is the implementation of Federated Graph Classification over Non-IID Graphs.☆39Updated last year
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆71Updated 3 years ago
- [AAAI 2023] Official PyTorch implementation for "Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings…☆21Updated last year
- Practical Vertical Federated Learning with Unsupervised Representation Learning (TBD 2022)☆20Updated 2 years ago
- IJCAI-Personalized Federated Learning with Graph☆50Updated last year
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆38Updated last year
- Source code of FedPrompt☆11Updated 2 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆42Updated last year
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆63Updated last year
- Locally Private Graph Neural Networks (ACM CCS 2021)☆45Updated last year
- Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning, WWW 2023☆19Updated last year
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆49Updated 5 months ago
- FedGH: Heterogeneous Federated Learning with Generalized Global Header (MM'23)☆13Updated last year