Jiyuan Feng

Orcid: 0000-0003-3052-6516

According to our database1, Jiyuan Feng authored at least 13 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
ProitMTA: A Multi-Target Model Poisoning Attack Framework for Federated Recommendation Systems With Proxy Items.
IEEE Trans. Knowl. Data Eng., June, 2026

2025
DA-PFL: Dynamic Affinity Aggregation in Personalized Federated Learning Under Class Imbalance.
IEEE Trans. Neural Networks Learn. Syst., December, 2025

Overcoming Catastrophic Forgetting in Federated Continual Graph Learning for Resource-Limited Mobile Devices.
IEEE Trans. Mob. Comput., October, 2025

CGoFed: Constrained Gradient Optimization Strategy for Federated Class Incremental Learning.
IEEE Trans. Knowl. Data Eng., May, 2025

FedSS: A Federated Semantic Segmentation Framework with Domain-Agnostic Feature Extraction and Fair Aggregation.
Proceedings of the International Joint Conference on Neural Networks, 2025

FedCSR: A Federated Framework for Multi-Platform Cross-Domain Sequential Recommendation with Dual Contrastive Learning.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
DA-PFL: Dynamic Affinity Aggregation for Personalized Federated Learning.
CoRR, 2024

FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal Decoupling.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023
FedGR: Federated Learning with Gravitation Regulation for Double Imbalance Distribution.
Proceedings of the Database Systems for Advanced Applications, 2023

2021
A Privacy-Preserving Federated Learning for Multiparty Data Sharing in Social IoTs.
IEEE Trans. Netw. Sci. Eng., 2021

A blockchain-based collaborative training method for multi-party data sharing.
Comput. Commun., 2021

2020
A privacy-preserving and correctness audit method in multi-party data sharing.
Proceedings of the CIAT 2020: International Conference on Cyberspace Innovation of Advanced Technologies, 2020


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