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Towards Mobile Federated Learning with Unreliable Participants and Selective Ag...

Esteves, Leonardo; Portugal, David; Peixoto, Paulo; Falcão, Gabriel

Recent advances in artificial intelligence algorithms are leveraging massive amounts of data to optimize, refine, and improve existing solutions in critical areas such as healthcare, autonomous vehicles, robotics, social media, or human resources. The significant increase in the quantity of data generated each year makes it urgent to ensure the protection of sensitive information. Federated learning allows mach...


Optimized voronoi-based algorithms for parallel shortest vector computation

Mariano, Artur; Cabeleira, Filipe; Santos, Luís Paulo; Falcão, Gabriel

This chapter addresses Voronoi cell-based algorithms, solving the Shortest Vector Problem, a fundamental challenge in lattice-based cryptanalysis. Several optimizations reduce the original algorithm's execution time. The algorithm suitability for parallel execution on both CPUs and GPUs is also shown. Optimizations are based on pruning, avoiding computations that will not improve the solution. The pruning crite...


Heterogeneous implementation of a Voronoi cell-based SVP solver

Falcão, Gabriel; Cabeleira, Filipe; Mariano, Artur; Santos, Luís Paulo

This paper presents a new, heterogeneous CPU+GPU attacks against lattice-based (postquantum) cryptosystems based on the Shortest Vector Problem (SVP), a central problem in lattice-based cryptanalysis. To the best of our knowledge, this is the first SVP-attack against lattice-based cryptosystems using CPUs and GPUs simultaneously. We show that Voronoi-cell based CPU+GPU attacks, algorithmically improved in previ...


A Survey on Programmable LDPC Decoders

Andrade, João; Falcão, Gabriel; Silva, Vitor; Sousa, Leonel

Low-density parity-check (LDPC) block codes are popular forward error correction schemes due to their capacity-approaching characteristics. However, the realization of LDPC decoders that meet both low latency and high throughput is not a trivial challenge. Usually, this has been solved with the ASIC and FPGA technology that enables meeting the decoder design constraints. But the rise of parallel architectures, ...


Time Evolution of Electron Waves in Graphene Superlattices

Fernandes, David E.; Rodrigues, Manuel; Falcão, Gabriel; Silveirinha, Mário G.

preprint, 37 pages, 11 figures; The time evolution of electron waves in graphene superlattices is studied using both microscopic and 'effective medium' formalisms. The numerical simulations reveal that in a wide range of physical scenarios it is possible to neglect the granularity of the superlattice and characterize the electron transport using a simple effective Hamiltonian. It is verified that as general rul...


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