All Stories

  1. Understanding the Impact of Data Noise in Federated Learning: [Experiments & Analysis]
  2. PARD: Enhancing Goodput for Inference Pipeline via Proactive Request Dropping
  3. Taming Latency-Memory Trade-Off in MoE-Based LLM Serving via Fine-Grained Expert Offloading
  4. PAT: Accelerating LLM Decoding via P refix- A ware A t tention with Resource Efficient Multi-Tile Kernel
  5. WaSC: Hardening WebAssembly Sandboxes via System Interface Decoupling
  6. AI Crossroads: Systems, Energy, and Applications
  7. AMPERE: A Generic Energy Estimation Approach for On-Device Training
  8. ARMing x86 Games: Accelerating Binary Translation Using Software-Only Validated Flag Speculation
  9. Pre-Warming is Not Enough: Accelerating Serverless Inference With Opportunistic Pre-Loading
  10. Stellaris: Staleness-Aware Distributed Reinforcement Learning with Serverless Computing
  11. Federated Morozov Regularization for Shortcut Learning in Privacy Preserving Learning with Watermarked Image Data
  12. Enhancing Model Poisoning Attacks to Byzantine-Robust Federated Learning via Critical Learning Periods
  13. FedRoLA: Robust Federated Learning Against Model Poisoning via Layer-based Aggregation
  14. RainbowCake: Mitigating Cold-starts in Serverless with Layer-wise Container Caching and Sharing
  15. Room-scale Location Trace Tracking via Continuous Acoustic Waves
  16. Libra: Harvesting Idle Resources Safely and Timely in Serverless Clusters
  17. CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated Learning
  18. Data Privacy Examination against Semi-Supervised Learning
  19. WH 2 D 2 N 2 : Distributed AI-enabled OK-ASN service for web of things
  20. Robust Searching-based Gradient Collaborative Management in Intelligent Transportation System
  21. Accelerating Serverless Computing by Harvesting Idle Resources
  22. Siren: Byzantine-robust Federated Learning via Proactive Alarming