Blog
Blockchain Meets Adaptive Honeypots: A Trust-Aware Approach to Next-Gen IoT Security
Edge computing-based Next-Generation Wireless Networks (NGWN)-IoT offer enhanced bandwidth capacity for large-scale service provisioning but remain vulnerable to evolving cyber threats. Existing intrusion detection and prevention methods provide limited security as adversaries continually adapt their attack strategies. We propose a dynamic attack...
Towards a Distributed Federated Learning Aggregation Placement using Particle Swarm Intelligence
Federated learning has become a promising distributed learning concept with extra insurance on data privacy. Extensive studies on various models of Federated learning have been done since the coinage of its term. One of the important derivatives of federated learning is hierarchical...
Fast, Space-Optimal Streaming Algorithms for Clustering and Subspace Embeddings
We show that both clustering and subspace embeddings can be performed in the streaming model with the same asymptotic efficiency as in the central/offline setting. For $(k, z)$-clustering in the streaming model, we achieve a number of words of memory which is...
Robust Causal Inference for EHR-based Studies of Point Exposures with Missingness in Eligibility Criteria
Missingness in variables that define study eligibility criteria is a seldom addressed challenge in electronic health record (EHR)-based settings. It is typically the case that patients with incomplete eligibility information are excluded from analysis without consideration of (implicit) assumptions that are being...
Quasitubal Tensor Algebra Over Separable Hilbert Spaces
The tubal tensor framework provides a clean and effective algebraic setting for tensor computations, supporting matrix-mimetic features like Singular Value Decomposition and Eckart-Young-like optimality results. Underlying the tubal tensor framework is a view of a tensor as a matrix of finite sized...
Normal state quantum geometry, non-locality and superconductivity
We investigate aspects of the relation between the quantum geometry of the normal state (NS) and the superconducting phase, through the lens of non-locality. By relating band theory to quantum estimation theory, we derive a direct momentum-dependent relation between quantum geometry and...
Analytic Fourier ptychotomography for volumetric refractive index imaging
Three-dimensional (3D) refractive index (RI) tomography offers label-free, quantitative volumetric imaging but faces limitations due to optical aberrations, limited resolution, and the computational complexity inherent to existing approaches. To overcome these barriers, we propose Analytic Fourier Ptychotomography (AFP), a new computational microscopy...
LTDE: The Lens Time Delay Experiment I. From pixels to light curves
Gravitationally lensed quasars offer a unique opportunity to study cosmological and extragalactic phenomena, using reliable light curves of the lensed images. This requires accurate deblending of the quasar images, which is not trivial due to the small separation between the lensed images...
Adaptive and Efficient Dynamic Memory Management for Hardware Enclaves
The second version of Intel Software Guard Extensions (Intel SGX), or SGX2, adds dynamic management of enclave memory and threads. The first version required the address space and thread counts to be fixed before execution. The Enclave Dynamic Memory Management (EDMM) feature...
Hydrodynamic fields in fluctuating environment: the emergent phononic and tachyonic-like excitations
Using functional methods, we investigate in a low-temperature liquid, the sound quanta defined by the quantized hydrodynamic fields, under the effects of high-energy processes on the atomic/molecular scale. To obtain in the molecular level the excitation spectra of liquids, we assume that...