2023 TOP Federated Learning Journal Review
2023 年度的人工智能和数据挖掘顶刊已经出炉，在此把关于 Federated Learning 的部分筛选出来，以供后续学习，整理内容已同步在 Github。
人工智能
AI
- Privacy-preserving graph convolution network for federated item recommendation [pdf]
TPAMI
- FedIPR: Ownership Verification for Federated Deep Neural Network Models [pdf] [code]
- Federated Learning Via Inexact ADMM [pdf] [code]
- Tighter Regret Analysis and Optimization of Online Federated Learning [pdf]
- Efficient Federated Learning Via Local Adaptive Amended Optimizer With Linear Speedup [pdf]
- Decentralized Federated Averaging [pdf]
IJCV
未查阅到相关文献。
JMLR
- Attacks against Federated Learning Defense Systems and their Mitigation [pdf] [code]
- FedLab: A Flexible Federated Learning Framework [pdf] [code]
- A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates [pdf] [code]
- Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning [pdf] [code]
- A First Look into the Carbon Footprint of Federated Learning [pdf]
数据库/数据挖掘/内容检索
TODS
未查阅到相关文献。
TOIS
- Federated User Modeling from Hierarchical Information [pdf]
- ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences [pdf]
- LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization [pdf]
- A Generic Federated Recommendation Framework via Fake Marks and Secret Sharing [pdf]
TKDE
- A Game-Theoretic Federated Learning Framework for Data Quality Improvement [pdf]
- Automated Graph Neural Network Search Under Federated Learning Framework [pdf]
- FedDSR: Daily Schedule Recommendation in a Federated Deep Reinforcement Learning Framework [pdf]
- A Robust Game-Theoretical Federated Learning Framework With Joint Differential Privacy [pdf]
- A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection [pdf]
- Privacy-Preserving Multi-Granular Federated Neural Architecture Search – A General Framework [pdf]
VLDBJ
未查阅到相关文献。
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