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Found 4 papers, 4 papers with code
THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression
To address this bottleneck and accelerate training, a widely-deployed approach is compression.
Teal: Learning-Accelerated Optimization of WAN Traffic Engineering
The rapid expansion of global cloud wide-area networks (WANs) has posed a challenge for commercial optimization engines to efficiently solve network traffic engineering (TE) problems at scale.
Multi-agent Reinforcement Learning
Reinforcement Learning (RL)
Cheetah: Accelerating Database Queries with Switch Pruning
In this paper, we leverage programmable switches in the network to partially offload query computation to the switch.
Databases Networking and Internet Architecture
Automating Botnet Detection with Graph Neural Networks
Botnets are now a major source for many network attacks, such as DDoS attacks and spam.
