3 papers
cs.AR2026
A Heterogeneous Neural Network Accelerator for End-to-End Multitask RF Signal Recognition
Zhifan Song, Haralampos-G. Stratigopoulos, Hassan Aboushady
This paper presents a heterogeneous neural network accelerator for multi-task RF signal recognition, supporting automatic modulation recognition (AMR), hardware-Trojan covert chann…
cs.NI2026
FLAIR: Distributed Federated Learning with Dynamic Clustering
Ihssan Boutebicha, Bilel Zaghdoudi, Mohamed Amine Legheraba +1
Federated Learning (FL) offers a privacy-preserving framework for distributed machine learning, yet conventional centralized and hierarchical architectures present significant chal…
math.OC2026
Mixed precision Newton's method for optimization
Nicolas Brisebarre, Giuseppe Carrino, Theo Mary +1
Second-order optimization methods, such as Newton's algorithm, achieve fast local convergence and high accuracy, but their practical use is often limited by high computational cost…