Papers

• High-Performance NTT Accelerators for PQC leveraging Unified Redundant Arithmetic and Fine-Tuned Microarchitecture (2026)
  George Alexakis et al.
  4.39
• Protecting Floating-Point Computation for DNN Binaries with MBA Obfuscation (2026)
  Yikun Hu et al.
  3.51
• Dynamic Rowhammer Threshold Management:Temperature-Aware Threshold Degradation for In-DRAM Defenses (2026)
  Aziz Alajmi et al.
  2.00
• RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory (2026)
  Zahra Yousefijamarani et al.
  2.00
• Unified Static-Dynamic Pruning for Efficient LLM Inference (2026)
  Jinhyeok Kim et al.
  2.00
• Sparse by Command: Task-Conditional Compute Skipping for Multi-Task Inference Accelerators (2026)
  Afzal Ahmad et al.
  2.00
• HiKV: Hierarchical Importance-Aware KV Cache with Hardware Acceleration for LLM Decoding (2026)
  Chao Fang et al.
  2.00
• Noise-Resilient Quantum Aggregation on NISQ for Federated ADAS Learning (2025)
  Chethana Prasad Kabgere et al.
  1.61
• Decentor-V: Lightweight ML Training on Low-Power RISC-V Edge Devices (2025)
  Marcelo Ribeiro et al.
  1.44
• FedBit: Accelerating Privacy-Preserving Federated Learning via Bit-Interleaved Packing and Cross-Layer Co-Design (2025)
  Xiangchen Meng et al.
  1.44
• FedUHD: Unsupervised Federated Learning using Hyperdimensional Computing (2025)
  You Hak Lee et al.
  1.39
• FedChip: Federated LLM for Artificial Intelligence Accelerator Chip Design (2025)
  Mahmoud Nazzal et al.
  1.39
• Trusted Compute Units: A Framework for Chained Verifiable Computations (2025)
  Fernando Castillo et al.
  1.17