๐ Paper Accepted at MobiSys 2026
Great news! Our paper has been conditionally accepted at ACM MobiSys 2026!
Paper Details
Title: KVSwap: Disk-aware KV Cache Offloading for Long-Context On-device Inference
Authors:
- Huawei Zhang (University of Leeds)
- Chunwei Xia (University of Leeds)
- Zheng Wang (University of Leeds)
Paper ID: #610
Conference Information
- Conference: ACM MobiSys 2026 (24th ACM International Conference on Mobile Systems, Applications, and Services)
- Date: June 21-25, 2026
- Location: Cambridge, UK
- Acceptance Rate: 68/304 submissions (22.4%)
About the Work
This paper addresses an important challenge in deploying large language models on mobile and edge devices with limited memory. We propose KVSwap, a novel approach for disk-aware KV cache offloading that enables efficient long-context inference on resource-constrained devices.
MobiSys is a premier venue for innovative research on mobile computing, applications, and services. We’re excited to present this work and contribute to advancing on-device AI capabilities!
The reviews and shepherding instructions will be available soon. Looking forward to the shepherding process and the conference!