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Found 3 papers, 1 papers with code
HawkVision: Low-Latency Modeless Edge AI Serving
The trend of modeless ML inference is increasingly growing in popularity as it hides the complexity of model inference from users and caters to diverse user and application accuracy requirements.
THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression
To address this bottleneck and accelerate training, a widely-deployed approach is compression.
Efficient Data-Plane Memory Scheduling for In-Network Aggregation
However, switch memory is scarce compared to the volume of gradients transmitted in distributed training.
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