… in the optimal distributed inferencing performance, has not … DNN partitioning approach to
obtain an optimal distributed … the partitioning problem as a constrained optimization problem …

… cooperative inference over heterogeneous devices to … partitioning on cooperative inference
workflow, and build a constrained programming model on workload distribution optimization. …

… computation between IoT devices and edge servers. Our … DNN-based inference acceleration
for multiple IoT devices in … platform with one edge cloud and multiple IoT devices, just …

… edge computing system CoopAI to distribute DNN inference over several edge devices with
a novel model partition … Subsequently, we present a new optimization problem to minimize …

… the cooperation of multiple edge devices with heterogeneous computing capacities for DNN
inference, and studied the dynamic DNN … and a cloud to optimize the experienced inference …

… the Partitioning optimization of the Edge-Cloud DNN inference … between the edge device
and the cloud at the granularity of … Zhang, “Coedge: Cooperative dnn inference with adaptive …

… inference through device-edge synergy. We use Cogent automated pruning and partition to
jointly optimize DNN model inference … task cooperatively. It not only makes full use of the rich …

… at network edges and orchestrate cooperative DNN inference over … blocks across multiple
computing resources of IoT devices … total inference delay of DNN tasks by optimizing the model …

… in cooperative deep inference, we partition the DNN model into two parts and execute di erent
parts on di erent devices (cloud or end devices… partition 3 models with optimized inference …

… Instead of optimizing only the single DNN inference process, … , we share the edge’s
computation task with the end device’s … The devices in an interlayer cooperation must follow the …