Apr 20, 2023 · The paper presents a rate-distortion theory-based compression method for Federated Learning, demonstrating improved accuracy-rate trade-offs.
We examine the problem using rate--distortion theory to present a compression method that is near-optimal in many use cases.
We examine the problem using rate–distortion theory to present a compression method that is near-optimal in many use cases. We empir- ically show that common ...
Jun 18, 2024 · In supervised learning, understanding an input's proximity to the training data can help a model decide whether it has sufficient evidence for ...
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What is the rate-distortion theory?
What is the distortion theory?
This paper gives a study on the rate distortion modeling for High Efficiency Video Coding (HEVC) and new rate distortion models are proposed by considering ...
In this paper, we illustrate how rate distortion theory can be used to analyze various datasets. The analysis involves testing, identification of outliers, ...
This paper describes a simple rate-distortion model, shows how the model parameters can be estimated using Kalman filtering, and suggests how this ...
Jan 7, 2022 · Distortion can be more effectively used for optimizing the trade-off between model performance and communication cost across clients.
In this paper, we study the capability of improving the rate-distortion (RD) performance based on the adaptive content modeling in the Versatile Video ...
Feb 14, 2021 · What computational principles underlie human pragmatic reasoning? A prominent approach to pragmatics is the Rational Speech Act (RSA).