1 citations · 1 across the 6 of their papers we have counts for
6 papers
Coded Robust Aggregation for Distributed Learning under Byzantine Attacks
Chengxi Li, Ming Xiao, Mikael Skoglund
In this paper, we investigate the problem of distributed learning (DL) in the presence of Byzantine attacks. For this problem, various robust bounded aggregation (RBA) rules have b…
Simultaneous Information and Energy Transmission with Short Packets and Finite Constellations
Sadaf ul Zuhra, Samir M. Perlaza, H. Vincent Poor +1
This paper characterizes the trade-offs between information and energy transmission over an additive white Gaussian noise channel in the finite block-length regime with finite chan…
Distributed Learning based on 1-Bit Gradient Coding in the Presence of Stragglers
Chengxi Li, Mikael Skoglund
This paper considers the problem of distributed learning (DL) in the presence of stragglers. For this problem, DL methods based on gradient coding have been widely investigated, wh…
Fairness-Aware Multi-Server Federated Learning Task Delegation over Wireless Networks
Yulan Gao, Chao Ren, Han Yu
In the rapidly advancing field of federated learning (FL), ensuring efficient FL task delegation while incentivising FL client participation poses significant challenges, especiall…
Gradient Coding in Decentralized Learning for Evading Stragglers
Chengxi Li, Mikael Skoglund
In this paper, we consider a decentralized learning problem in the presence of stragglers. Although gradient coding techniques have been developed for distributed learning to evade…
Rethinking Disclosure Prevention with Pointwise Maximal Leakage
Sara Saeidian, Giulia Cervia, Tobias J. Oechtering +1
This paper introduces a paradigm shift in the way privacy is defined, driven by a novel interpretation of the fundamental result of Dwork and Naor about the impossibility of absolu…