NetZIP: Algorithm/Hardware Co-design of In-network Lossless Compression for Distributed Large Model Training
- Jinghan Huang
- Hyungyo Kim
- et al.
- 2025
- MICRO 2025
Publications
Chameleon: Adaptive Caching and Scheduling for Many-Adapter LLM Inference Environments
- Nikoleta Iliakopoulou
- Jovan Stojkovic
- et al.
- 2025
- MICRO 2025
Breaking and Fixing Content-Defined Chunking
- Kien Tuong Truong
- Simon-philipp Merz
- et al.
- 2025
- CCS 2025
Membership Inference Attacks as Privacy Tools: Reliability, Disparity and Ensemble
- Zhiqi Wang
- Chengyu Zhang
- et al.
- 2025
- CCS 2025
GPU Travelling: Efficient Confidential Collaborative Training with TEE-Enabled GPUs
- Shixuan Zhao
- Zhongshu Gu
- et al.
- 2025
- CCS 2025
SkyStore: Cost-Optimized Object Storage Across Regions and Clouds
- Shu Liu
- Xiangxi Mo
- et al.
- 2025
- VLDB 2025
Towards secondary structure prediction of longer mRNA sequences using a quantum-centric optimization scheme
- Vaibhaw Kumar
- Dimitris Alevras
- et al.
- 2025
- QCE 2025
Evolving a Multi-Population Evolutionary-QAOA on Distributed QPUs
- Francesca Schiavello
- Edoardo Altamura
- et al.
- 2025
- QCE 2025
Quantum Processing Unit (QPU) Processing Time Prediction with Machine Learning
- Lucy Xing
- Sanjay Vishwakarma
- et al.
- 2025
- QCE 2025
Scientific research with AI co-participation in chemistry: Prompt engineering and AI ethical challenges in the scientific discovery process
- Juliana Jansen Ferreira
- Vinicius Segura
- et al.
- 2025
- ACS Fall 2025