2 citations · 2 across the 5 of their papers we have counts for
8 papers
Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning
Marvin Xhemrishi, Alexandre Graell i Amat, Balázs Pejó
Federated learning with secure aggregation enables private and collaborative learning from decentralised data without leaking sensitive client information. However, secure aggregat…
Improving the Thresholds of Generalized LDPC Codes with Convolutional Code Constraints
Muhammad Umar Farooq, Michael Lentmaier, Alexandre Graell i Amat
CC-GLPDC codes are a class of generalized low-density parity-check (GLDPC) codes where the constraint nodes (CNs) represent convolutional codes. This allows for efficient decoding…
Finite-Length Scaling of SC-LDPC Codes With a Limited Number of Decoding Iterations
Roman Sokolovskii, Alexandre Graell i Amat, Fredrik Brännström
We propose four finite-length scaling laws to predict the frame error rate (FER) performance of spatially-coupled low-density parity-check codes under full belief propagation (BP)…
Autoencoder-Based Unequal Error Protection Codes
Vukan Ninkovic, Dejan Vukobratovic, Christian Häger +2
We present a novel autoencoder-based approach for designing codes that provide unequal error protection (UEP) capabilities. The proposed design is based on a generalization of an a…
Pruning and Quantizing Neural Belief Propagation Decoders
Andreas Buchberger, Christian Häger, Henry D. Pfister +2
We consider near maximum-likelihood (ML) decoding of short linear block codes. In particular, we propose a novel decoding approach based on neural belief propagation (NBP) decoding…
The Capacity of Single-Server Weakly-Private Information Retrieval
Hsuan-Yin Lin, Siddhartha Kumar, Eirik Rosnes +2
A private information retrieval (PIR) protocol guarantees that a user can privately retrieve files stored in a database without revealing any information about the identity of the…
Binary Message Passing Decoding of Product-like Codes
Alireza Sheikh, Alexandre Graell i Amat, Gianluigi Liva
We propose a novel binary message passing decoding algorithm for product-like codes based on bounded distance decoding (BDD) of the component codes. The algorithm, dubbed iterative…
Finite Length Analysis of Irregular Repetition Slotted ALOHA in the Waterfall Region
Alexandre Graell i Amat, Gianluigi Liva
A finite length analysis is introduced for irregular repetition slotted ALOHA (IRSA) that enables to accurately estimate its performance in the moderate-to-high packet loss probabi…