JM's Research

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Federated Learning 4

Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy

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Federated Learning 2024.05.29

FEDHYPER: A UNIVERSAL AND ROBUST LEARNING RATE SCHEDULER FOR FEDERATED LEARNING WITH HYPERGRADIENT DESCENT

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Federated Learning 2024.05.28

Revisiting Weighted Aggregation in Federated Learning with Neural Networks

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Federated Learning 2024.05.27

FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning

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Federated Learning 2023.11.20
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JM's Research

  • 분류 전체보기 (183)
    • Curriculum learning (9)
    • Meta learning (53)
    • Deep Learning (23)
    • 개발 (1)
    • Reinforcement learning (3)
    • 선형대수학 (6)
    • Semi-supervised learning (3)
    • 연구주제 (0)
    • Multi task learning (4)
    • Federated Learning (4)
    • Knowledge Distillation (7)
    • Flat minima (2)
    • Continual learning (3)
    • Object Detection (8)
    • Prompt learning (16)
    • Transformers (9)
    • Dataset Distillation (5)
    • Visual-language model (11)
    • Data augmentation (8)

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