5 papers
A Theoretical Framework for Energy-Aware Gradient Pruning in Federated Learning
Emmanouil M. Athanasakos
Federated Learning (FL) is constrained by the communication and energy limitations of decentralized edge devices. While gradient sparsification via Top-K magnitude pruning effectiv…
Local Information-Theoretic Security via Euclidean Geometry
Emmanouil M. Athanasakos, Nicholas Kalouptsidis, Hariprasad Manjunath
This paper introduces a methodology based on Euclidean information theory to investigate local properties of secure communication over discrete memoryless wiretap channels. We form…
Sparse Regression Codes for Secret Key Agreement: Achieving Strong Secrecy and Near-Optimal Rates for Gaussian Sources
Emmanouil M. Athanasakos, Hariprasad Manjunath
Secret key agreement from correlated physical layer observations is a cornerstone of information-theoretic security. This paper proposes and rigorously analyzes a complete, constru…
Local Approximation of Secrecy Capacity
Emmanouil M. Athanasakos, Nicholas Kalouptsidis, Hariprasad Manjunath
This paper uses Euclidean Information Theory (EIT) to analyze the wiretap channel. We investigate a scenario of efficiently transmitting a small amount of information subject to co…
Leveraging Noisy Observations in Zero-Sum Games
Emmanouil M Athanasakos, Samir M Perlaza
This paper studies an instance of zero-sum games in which one player (the leader) commits to its opponent (the follower) to choose its actions by sampling a given probability measu…