2 papers
cs.LG2026
Memory-Efficient Partitioned DNN Inference on Resource-Constrained Android Crowds
Lakshani Manamperi, Disumi Pathirana, Thiwanka Pathirana +2
Deploying large deep neural networks on memory-constrained mobile devices is a central challenge in edge ML. While compression, pruning, and quantization reduce per-parameter cost,…
cs.DC2026
CROWDio: A Practical Mobile Crowd Computing Framework with Developer-Oriented Design, Adaptive Scheduling, and Fault Resilience
Lakshani Manamperi, Disumi Pathirana, Thiwanka Pathirana +2
Mobile Crowd Computing (MCdC) leverages the idle computational capacity of consumer smartphones to enable distributed task processing at scale; however, widespread real-world adopt…