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Guodong Long — most-cited papers & profile · Federated Learning
← authors
·
overview
Guodong Long
67
papers ·
4170
citations ·
48
h-index
University of Technology Sydney
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
2022 · 67 citations
Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data
2023 · 37 citations
Multi-Center Federated Learning: Clients Clustering for Better Personalization
2020 · 32 citations
On the Convergence of Clustered Federated Learning
2022 · 25 citations
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning
2021 · 20 citations
FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels
2022 · 14 citations
Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health
2021 · 11 citations
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
2022 · 10 citations
Federated Recommendation with Additive Personalization
2023 · 7 citations
Federated Prompt Learning for Weather Foundation Models on Devices
2023 · 6 citations
Federated Learning for Open Banking
2021 · 3 citations
Dual-Personalizing Adapter for Federated Foundation Models
2024 · 3 citations
Federated Vision-Language-Recommendation with Personalized Fusion
2024 · 1 citations
Navigating the Future of Federated Recommendation Systems with Foundation Models
2024 · 1 citations
FedProto: Federated Prototype Learning across Heterogeneous Clients
2021 · 1 citations
Top co-authors
Jing Jiang
· 12
Chengqi Zhang
· 11
Tianyi Zhou
· 11
Jing Jiang
· 7
Shengchao Chen
· 5
Tao Shen
· 4
Yiyuan Yang
· 4
Yue Tan
· 4
Chengqi Zhang
· 3
Qinghua Lu
· 3
Yue Tan
· 3
Zhiwei Li
· 3
Topics
Federated Learning
Privacy
Data Heterogeneity
Optimization
Communication