3 papers
cs.LG2026
Robust Federated Learning Under Real-World Client Churn
Dhruv Garg, Neha Lakhani, Debopam Sanyal +3
Federated Learning (FL) enables training shared models on private, on-device data, but production deployments remain constrained to slow, multi-day refresh cycles due to the comple…
cs.DC2026
AXLE: Coordinated Offloading with Asynchronous Back-Streaming in Computational Memory Systems
Suyeon Lee, Kangkyu Park, Kwangsik Shin +1
CXL-based Computational Memory (CCM) enables near-memory processing within expanded remote memory, offering opportunities to address data movement costs in disaggregated memory sys…
cs.DC2026
Stimpack: An Adaptive Rendering Optimization System for Scalable Cloud Gaming
Jin Heo, Vic Wang, Ketan Bhardwaj +1
In distributed multimedia applications, content is often delivered to users in a degraded form due to network-induced lossy compression. Real-time and interactive use cases like cl…