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Carlee Joe-Wong — most-cited papers & profile · Generative Models
← authors
·
overview
Carlee Joe-Wong
52
papers ·
166
citations ·
0
h-index
Carnegie Mellon University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System
2023 · 37 citations
Towards Flexible Device Participation in Federated Learning
2020 · 33 citations
An LLM-Based Digital Twin for Optimizing Human-in-the Loop Systems
2024 · 25 citations
FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks
2022 · 16 citations
FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks
2022 · 16 citations
Hierarchical Conversational Preference Elicitation with Bandit Feedback
2022 · 8 citations
Online Competitive Influence Maximization
2020 · 5 citations
FedSoft: Soft Clustered Federated Learning with Proximal Local Updating
2021 · 5 citations
Federated Large Language Models: Current Progress and Future Directions
2024 · 4 citations
RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning
2023 · 4 citations
RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning
2023 · 4 citations
Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications
2023 · 2 citations
Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability
2024 · 2 citations
FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learning
2024 · 1 citations
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks
2020 · 1 citations
Top co-authors
Blessed Guda
· 1
Kayley Sze
· 1
Topics
Federated Learning
Data Heterogeneity
Optimization
Privacy
Communication
Security
cs.LG
Multi-Agent
Edge Computing
Efficiency