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。