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Seong-Lyun Kim β most-cited papers & profile Β· Large Language Models
β authors
Β·
overview
Seong-Lyun Kim
14
papers Β·
108
citations
Google Scholar β
Semantic Scholar β
OpenAlex β
Most-cited papers
Federated Knowledge Distillation
2020 Β· 34 citations
Federated Knowledge Distillation
2020 Β· 34 citations
Multi-hop Federated Private Data Augmentation with Sample Compression
2019 Β· 21 citations
SplitAMC: Split Learning for Robust Automatic Modulation Classification
2023 Β· 5 citations
Knowledge Distillation from Language-Oriented to Emergent Communication for Multi-Agent Remote Control
2024 Β· 5 citations
Visual Transformer Meets CutMix for Improved Accuracy, Communication Efficiency, and Data Privacy in Split Learning
2022 Β· 4 citations
Differentially Private CutMix for Split Learning with Vision Transformer
2022 Β· 4 citations
Mix2FLD: Downlink Federated Learning After Uplink Federated Distillation With Two-Way Mixup
2020 Β· 1 citations
Breaking the Capacity Bottleneck in Model-Heterogeneous Federated Learning via Gradual Model Restoration
2025
Federated Reinforcement Distillation with Proxy Experience Memory
2019
Federated Reinforcement Distillation with Proxy Experience Memory
2019
Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Learning
2020
Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Learning
2020
Communication-Efficient and Personalized Federated Lottery Ticket Learning
2021
Topics
Federated Learning
Privacy
Communication
Optimization
Multi-Agent
Data Heterogeneity
Edge Computing
Policy Gradient
Safe RL
Offline RL