Zhen Qin
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    • Federated Data-Efficient Instruction Tuning for Large Language Models
    • Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes
    • The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective
    • BlockDFL: A Blockchain-based Fully Decentralized Peer-to-Peer Federated Learning Framework
    • LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection
    • Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection
    • Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective
    • FedAPEN: Personalized Cross-silo Federated Learning with Adaptability to Statistical Heterogeneity
    • 6G Data Plane: A Novel Architecture Enabling Data Collaboration with Arbitrary Topology
    • ST-EUA: Spatio-Temporal Edge User Allocation With Task Decomposition
    • DeepWSC: Clustering Web Services via Integrating Service Composability into Deep Semantic Features
    • Towards the optimality of service instance selection in mobile edge computing
    • TD-EUA: Task-Decomposable Edge User Allocation with QoE Optimization
    • BlockDFL: A Blockchain-based Fully Decentralized Peer-to-Peer Federated Learning Framework
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Pandas

Oct 26, 2023 · 1 min read
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Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures.

Last updated on Oct 26, 2023
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Zhen Qin
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Zhen Qin
PhD Student
PyTorch Oct 26, 2023 →

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