주제로 연구실 찾기

1. Yonsei·머신러닝

   한동준Edge AI Lab

   관련도관련 논문 24편비중 55%연구 분야에 명시
   • 2026Communication-Efficient Multimodal Federated Learning: Joint Modality and Client SelectionIEEE TMC
   • 2026Federated Sketching LoRA: A Flexible Framework for Heterogeneous Collaborative Fine-Tuning of LLMsICML
   • 2026Multi-Tier Split Federated Learning for Multi-Level PersonalizationIEEE WCNC
2. KAIST·머신러닝

   문재균

   관련도관련 논문 5편비중 25%연구 분야에 명시
   • 2024Achieving Lossless Gradient Sparsification via Mapping to Alternative Space in Federated LearningICML
   • 2023EvoFed: Leveraging Evolutionary Strategies for Efficient and Privacy-Preserving Federated LearningNeurIPS
   • 2023Federated Split Learning with Joint Personalization-Generalization for Inference-Stage Optimization in Wireless Edge NetworksIEEE TMC
3. SNU·컴퓨터 비전

   이경무, 한보형CV Lab

   관련도관련 논문 3편비중 3%연구 분야에 명시
   • 2025FedLPA: Local Prior Alignment for Heterogeneous Federated Generalized Category DiscoveryNeurIPS
   • 2024Communication-Efficient Federated Learning with Accelerated Client GradientCVPR
   • 2024Relaxed Contrastive Learning for Federated LearningCVPR
4. KAIST·머신러닝

   윤세영OSI Lab

   관련도관련 논문 7편비중 5%
   • 2025FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated LearningTMLR
   • 2024FedSOL: Stabilized Orthogonal Learning in Federated LearningCVPR
   • 2024FLR: Label-Mixture Regularization for Federated Learning with Noisy LabelsTMLR
5. SNU·AI 시스템

   김형신AIoT Lab

   관련도관련 논문 1편비중 3%연구 분야에 명시
   • 2024Effective Heterogeneous Federated Learning via Efficient Hypernetwork-based Weight GenerationSenSys
6. POSTECH·머신러닝

   김동우, 옥정슬, 박상돈, 박은혁ML Lab

   관련도관련 논문 2편비중 2%
   • 2026Federated Variational Preference Alignment with Gumbel-Softmax Prior for Personalized User PreferencesICML
   • 2025Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous ClientsACL
7. SNU·컴퓨터 비전

   김건희Vision & Learning Lab

   관련도관련 논문 3편비중 5%
   • 2025FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural FieldsICCV
   • 2024FedAvP: Augment Local Data via Shared Policy in Federated LearningNeurIPS
   • 2023Federated Learning via Meta-Variational DropoutNeurIPS
8. POSTECH·머신러닝

   이재호EffL Lab

   관련도관련 논문 2편비중 5%
   • 2025Communication-Efficient Split Learning via Adaptive Feature-wise CompressionIEEE TNNLS
   • 2025Towards Federated Low-Rank Adaptation with Rank-Heterogeneous CommunicationNAACL
9. KAIST·AI for Science

   최윤재

   관련도관련 논문 2편비중 3%
   • 2026Federated Learning for Heterogeneous Electronic Health Record Systems with Cost Effective Participant SelectionScientific Reports
   • 2023Towards the Practical Utility of Federated Learning in the Medical DomainCHIL
10. KAIST·머신러닝

    양은호MLI Lab

    관련도관련 논문 2편비중 3%
    • 2025VQ-FedDiff: Federated Learning Algorithm of Diffusion Models with Client-Specific Vector-Quantized ConditioningTPAMI
    • 2023Towards the Practical Utility of Federated Learning in the Medical DomainCHIL
11. KAIST·머신러닝

    황성주MLAI Lab

    관련도관련 논문 2편비중 2%
    • 2025FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRANeurIPS
    • 2023Personalized Subgraph Federated LearningICML
12. SNU·머신러닝

    김태섭LAAL Lab

    관련도관련 논문 1편비중 3%
    • 2026Generalized and Personalized Federated Learning with Black-Box Foundation Models via Orthogonal TransformationsCVPR
13. SNU·자연어처리·LLM

    도재영AIDAS Lab

    관련도관련 논문 1편비중 3%
    • 2026SUM: Unified Geometric Surgery on Spatio-Temporal Adaptation Vectors for Federated Class Incremental LearningECCV
14. SNU·머신러닝

    이정우CML Lab

    관련도관련 논문 1편비중 2%
    • 2026Federated Offline Reinforcement Learning with Heterogeneous Client Capacities via Progressive DistillationNeurocomputing
15. KAIST·AI 시스템

    김주영CAST Lab

    관련도관련 논문 1편비중 1%
    • 2026NetFED: Network-Aware Acceleration for Multi-Key Privacy-Preserving Federated Learning AggregationMICRO
16. Yonsei·머신러닝

    손지용ITML Lab

    관련도관련 논문 1편비중 4%
    • 2025Buffer-based Gradient Projection for Continual Federated LearningTMLR
17. POSTECH·음성·오디오

    서영주AIoT Lab

    관련도관련 논문 1편비중 3%
    • 2025HyFLM: A Hypernetwork-Based Federated Learning with Multidimensional Trajectory Optimization on Diffusion PathsElectronics
18. KAIST·데이터 마이닝

    박찬영DSAIL

    관련도관련 논문 1편비중 1%
    • 2025Subgraph Federated Learning for Local GeneralizationICLR
19. KAIST·머신러닝

    신진우ALIN Lab

    관련도관련 논문 1편비중 1%
    • 2025NeFL: Nested Model Scaling for Federated Learning with System Heterogeneous ClientsIEEE TMC
20. KAIST·머신러닝

    이주호SIML Lab

    관련도관련 논문 1편비중 1%
    • 2025FedSVD: adaptive orthogonalization for private federated learning with LoRANeurIPS
21. Yonsei·머신러닝

    조성배SCLAB

    관련도관련 논문 1편비중 1%
    • 2025A federated learning approach for classifying chest diseases from chest X-ray imagesBiomedical Signal Processing and Control
22. Yonsei·AI 시스템

    차호정MOBED

    관련도관련 논문 1편비중 5%
    • 2024Split Learning-based Sound Event Detection in Energy-Constrained Sensor DevicesIPSN
23. KAIST·컴퓨터 비전

    김승룡CV Lab

    관련도관련 논문 1편비중 1%
    • 2024HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated LearningMLSys
24. KAIST·컴퓨터 비전

    오태현AMI Lab

    관련도관련 논문 1편비중 1%
    • 2024Overcoming Client Data Deficiency in Federated Learning by Exploiting Unlabeled Data on the ServerIEEE Access
25. POSTECH·머신러닝

    이남훈Computational Optimization Lab

    관련도관련 논문 1편비중 4%
    • 2023FedFwd: Federated Learning without BackpropagationICML
26. KU·자연어처리·LLM

    이상근Data Intelligence Lab

    관련도관련 논문 1편비중 3%
    • 2023Client-Customized Adaptation for Parameter-Efficient Federated LearningACL Findings
27. KAIST·컴퓨터 비전

    주재걸DAVIAN Lab

    관련도관련 논문 1편비중 1%
    • 2023FedGeo: Privacy-Preserving User Next Location Prediction with Federated LearningSIGSPATIAL

2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.