SURF: Direction-Optimizing Breadth-First Search Using Workload State on GPUs

SAGE: toward on-the-fly gradient compression ratio scaling

Empirical Analysis on Top-k Gradient Sparsification for Distributed Deep Learning in a Supercomputing Environment

AMBLE: Adjusting Mini-Batch and Local Epoch for Federated Learning with Heterogeneous Devices

Novel data-placement scheme for improving the data locality of Hadoop in heterogeneous environments

Efficient Feature Selection Based Near Real-Time Hybrid Intrusion Detection System

Integrate multi-agent simulation environment and multi-agent reinforcement learning (MARL) for real-world scenario

Achieving Balanced Load Distribution with Reinforcement Learning-Based Switch Migration in Distributed SDN Controllers

Balanced content space partitioning for pub/sub: a study on impact of varying partitioning granularity

Exploring a system architecture of content-based publish/subscribe system for efficient on-the-fly data dissemination