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• Lora-fa: Memory-efficient Low-rank Adaptation For Large Language Models Fine-tuning
  2023 · 186 citations
• FADNet: A Fast and Accurate Network for Disparity Estimation
  2020 · 100 citations
• A Comprehensive Survey of Incentive Mechanism for Federated Learning
  2021 · 60 citations
• Communication-Efficient Decentralized Learning with Sparsification and Adaptive Peer Selection
  2020 · 50 citations
• FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks
  2021 · 42 citations
• FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks
  2021 · 42 citations
• Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
  2022 · 17 citations
• Dissecting The Runtime Performance Of The Training, Fine-tuning, And Inference Of Large Language Models