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Found 6 papers, 2 papers with code
External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation
Second, large-volume data arrive in a streaming mode with data distributions dynamically shifting, as new users/ads join and existing users/ads leave the system.
A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale
It constructs a block-diagonal preconditioner where each block consists of a coarse Kronecker product approximation to full-matrix AdaGrad for each parameter of the neural network.
Compiler-Driven Simulation of Reconfigurable Hardware Accelerators
As customized accelerator design has become increasingly popular to keep up with the demand for high performance computing, it poses challenges for modern simulator design to adapt to such a large variety of accelerators.
Optimizing JPEG Quantization for Classification Networks
While a long history of work has sought better Q-tables, existing work either seeks to minimize image distortion or to optimize for models of the human visual system.
Et Tu Alexa? When Commodity WiFi Devices Turn into Adversarial Motion Sensors
Our work demonstrates a new set of silent reconnaissance attacks, which leverages the presence of commodity WiFi devices to track users inside private homes and offices, without compromising any WiFi network, data packets, or devices.
Cryptography and Security
