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Found 7 papers, 1 papers with code
Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates
Synchronous federated learning (FL) is a popular paradigm for collaborative edge learning.
Adaptive Integrate-and-Fire Time Encoding Machine
An integrate-and-fire time-encoding machine (IF-TEM) is an effective asynchronous sampler that translates amplitude information into non-uniform time sequences.
Successive Refinement in Large-Scale Computation: Advancing Model Inference Applications
This innovation notably enhances the deadline-based systems, as if a computational job is terminated due to time constraints, an approximate version of the final result can still be generated.
CRYPTO-MINE: Cryptanalysis via Mutual Information Neural Estimation
The use of Mutual Information (MI) as a measure to evaluate the efficiency of cryptosystems has an extensive history.
Stream Distributed Coded Computing
The contribution of this paper is to devise a novel framework for joint scheduling-coding, in a setting where the workers and the arrival of stream computational jobs are based on stochastic models.
Information Theory Information Theory
Multi-Level Group Testing with Application to One-Shot Pooled COVID-19 Tests
A key requirement in containing contagious diseases, such as the Coronavirus disease 2019 (COVID-19) pandemic, is the ability to efficiently carry out mass diagnosis over large populations.
Noise Recycling
The estimate is recycled to reduce the Signal to Noise Ratio (SNR) of an orthogonal channel that is experiencing correlated noise and so improve the accuracy of its decoding.
Information Theory Information Theory
