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05/05/2023
A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness
The aim of dataset distillation is to encode the rich features of an ori...
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05/03/2023
A Survey on Dataset Distillation: Approaches, Applications and Future Directions
Dataset distillation is attracting more attention in machine learning as...
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10/18/2021
Towards General Deep Leakage in Federated Learning
Unlike traditional central training, federated learning (FL) improves th...
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05/18/2021
DID-eFed: Facilitating Federated Learning as a Service with Decentralized Identities
We have entered the era of big data, and it is considered to be the "fue...
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01/06/2019