activity
20082026
most citedPower Allocation Strategies in Energy Harvesting Wireless Cooperative Networks

511 citations · 1.2k across the 54 of their papers we have counts for

collaborators

64 papers

cs.IT2026

Performance Guarantees of SIC-Based Decoding for VLSF Codes in Hardcore-Regulated MAC

Kevin Zagalo, Guodong Sun, Philippe Mary +2

Spatial regulation suffices to guarantee reliable, low-latency communication using variable-length stop-feedback (VLSF) codes over multiple access channels. The delay performance o…

stat.ML2026

Machine Unlearning for Gibbs Supervised Learning Algorithms

Yaiza Bermudez, Samir M. Perlaza, Iñaki Esnaola

In this paper, a method for achieving exact unlearning for Gibbs supervised learning algorithms is proposed using a variational formulation inspired by empirical risk minimization…

cs.IT2026

Equivalence Between Nested Gibbs Measures and Log-Linear Combinations of Gibbs Measures

Yaiza Bermudez, Samir M. Perlaza, Iñaki Esnaola

In this paper, three operations on Gibbs probability measures are studied. The first operation, often referred to as renormalization, takes one Gibbs probability measure and genera…

stat.ML2026

Decentralized Machine Learning with Centralized Performance Guarantees via Gibbs Algorithms

Yaiza Bermudez, Samir M. Perlaza, Iñaki Esnaola

In this paper, it is shown, for the first time, that centralized performance is achievable in decentralized learning without sharing the local datasets. Specifically, when clients…

cs.IT2026

VLSF Decoding with Reliability Guarantees over Correlated Noncoherent Fading Channels

Guodong Sun, Samir M. Perlaza, Philippe Mary +1

This paper studies reliability-guaranteed decoding for variable-length stop-feedback (VLSF) codes over correlated noncoherent fading channels. The decoding rule is based on the evo…

cs.IT2026

Optimization of Sparse VLSF Codes for Short-Packet Transmission via Saddlepoint Methods

Guodong Sun, Samir M. Perlaza, Philippe Mary +1

In this work, we present an optimization framework for sparse variable-length stop-feedback (VLSF) codes based on a saddlepoint approximation, which jointly optimizes the decoding…