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Chunming Rong

PriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Processing Workflow over Hybrid Clouds

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May 24, 2024
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FedShift: Tackling Dual Heterogeneity Problem of Federated Learning via Weight Shift Aggregation

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Feb 02, 2024
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Precision in Building Extraction: Comparing Shallow and Deep Models using LiDAR Data

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Sep 21, 2023
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A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness

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May 05, 2023
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A Survey on Dataset Distillation: Approaches, Applications and Future Directions

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May 03, 2023
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Towards General Deep Leakage in Federated Learning

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Oct 18, 2021
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DID-eFed: Facilitating Federated Learning as a Service with Decentralized Identities

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May 19, 2021
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