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and Qiang Yang β most-cited papers & profile Β· Large Language Models
β authors
Β·
overview
and Qiang Yang
12
papers Β·
118
citations
Google Scholar β
Semantic Scholar β
OpenAlex β
Most-cited papers
Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text
2019 Β· 92 citations
FedEval: A Holistic Evaluation Framework for Federated Learning
2020 Β· 20 citations
RPN: A Residual Pooling Network for Efficient Federated Learning
2020 Β· 5 citations
A Survey on Contribution Evaluation in Vertical Federated Learning
2024 Β· 1 citations
FedHarmony: Harmonizing Heterogeneous Label Correlations in Federated Multi-Label Learning
2026
Enhancing Security and Privacy in Federated Learning using Low-Dimensional Update Representation and Proximity-Based Defense
2024
A Survey for Federated Learning Evaluations: Goals and Measures
2023
Hyperparameter Optimization for SecureBoost via Constrained Multi-Objective Federated Learning
2024
FedEval-LLM: Federated Evaluation of Large Language Models on Downstream Tasks with Collective Wisdom
2024
Enhancing Security and Privacy in Federated Learning using Low-Dimensional Update Representation and Proximity-Based Defense
2024
Federated Co-tuning Framework for Large and Small Language Models
2024
Federated Co-tuning Framework for Large and Small Language Models
2024
Topics
Federated Learning
Privacy
Optimization
Security
Data Heterogeneity
Collaborative Filtering
Cold Start & Cross-Domain
Ranking & CTR
Communication
Encryption