AID: Attesting the Integrity of Deep Neural Networks
- Omid Aramoon
- Pin-Yu Chen
- et al.
- 2021
- DAC 2021
Publications
Date
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8 results at DAC 2021
Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration
- Zirui Xu
- Fuxun Yu
- et al.
- 2021
- DAC 2021
Invited: Trainable Discrete Feature Embeddings for Quantum Machine Learning
- Napat Thumwanit
- Chayaphol Lortaraprasert
- et al.
- 2021
- DAC 2021
Accelerator Architectures and Machine Learning – AI Hardware
- Kailash Gopalakrishnan
- 2021
- DAC 2021
On the Energy Efficiency of Machine Learning Frameworks
- Nagu Dhanwada
- Kartik Acharya
- et al.
- 2021
- DAC 2021
Priority Synthesis in Physical Synthesis
- Nancy Y. Zhou
- Lakshmi Reddy
- et al.
- 2021
- DAC 2021
Routing layer re-optimization in Physical Synthesis
- Nancy Y. Zhou
- Lakshmi Reddy
- et al.
- 2021
- DAC 2021
Reliable RRAM-based In-Memory Computing in Light of Model Stability
- Gokul Krishnan
- Li Yang
- et al.
- 2021
- DAC 2021