Sfoglia per Correlatore CRAIGHERO, MICHELE
Mostrati risultati da 1 a 7 di 7
BadAvg: aggregation-aware backdoor attack against Federated Contrastive Learning
2024/2025 Franchi, Davide
Domain-specific time series generation via adversarial learning
2023/2024 CIRINO, PIETRO ANDREA
Enabling selective prediction on personalized models for the classification of lung sound abnormalities
2024/2025 BERTOLDI, GIORGIO
Federated learning for systolic complex detection in SCG signals
2024/2025 Noshad, Ali
Quantized Reversible Layers for On-Device Neural Networks Training
2022/2023 Pollam, Giovanni Battista
SemiFCDA: semi-supervised federated clustering for domain adaptation
2023/2024 Mesropyan, Taguhi
Strengthening learnable quantizers for quantization-aware training in low-bit precision
2024/2025 Pertusi, Federica
| Fulltext | Data | Tipo | Titolo | Autore (i) |
|---|---|---|---|---|
| 2025-07-22 | Tesi di laurea Magistrale | BadAvg: aggregation-aware backdoor attack against Federated Contrastive Learning | Franchi, Davide | |
| 2024-10-10 | Tesi di laurea Magistrale | Domain-specific time series generation via adversarial learning | CIRINO, PIETRO ANDREA | |
| 2025-07-22 | Tesi di laurea Magistrale | Enabling selective prediction on personalized models for the classification of lung sound abnormalities | BERTOLDI, GIORGIO | |
| 2025-04-03 | Tesi di laurea Magistrale | Federated learning for systolic complex detection in SCG signals | Noshad, Ali | |
| 2023-10-05 | Tesi di laurea Magistrale | Quantized Reversible Layers for On-Device Neural Networks Training | Pollam, Giovanni Battista | |
| 2024-10-10 | Tesi di laurea Magistrale | SemiFCDA: semi-supervised federated clustering for domain adaptation | Mesropyan, Taguhi | |
| 2025-12-10 | Tesi di laurea Magistrale | Strengthening learnable quantizers for quantization-aware training in low-bit precision | Pertusi, Federica |
Mostrati risultati da 1 a 7 di 7
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