Zobrazeno 1 - 10
of 8 909
pro vyhledávání: '"Felber, A."'
Autor:
Mwaisela, Mpoki, Hari, Joel, Yuhala, Peterson, Ménétrey, Jämes, Felber, Pascal, Schiavoni, Valerio
The widespread adoption of cloud-based solutions introduces privacy and security concerns. Techniques such as homomorphic encryption (HE) mitigate this problem by allowing computation over encrypted data without the need for decryption. However, the
Externí odkaz:
http://arxiv.org/abs/2412.09144
Publikováno v:
2024 IEEE International Conference on Cloud Engineering (IC2E)
In machine learning (ML), the inference phase is the process of applying pre-trained models to new, unseen data with the objective of making predictions. During the inference phase, end-users interact with ML services to gain insights, recommendation
Externí odkaz:
http://arxiv.org/abs/2411.10337
We provide a complete characterization of the solvability/impossibility of deterministic stabilizing consensus in any computing model with benign process and communication faults using point-set topology. Relying on the topologies for infinite execut
Externí odkaz:
http://arxiv.org/abs/2411.07106
Publikováno v:
Stabilization, Safety, and Security of Distributed Systems. SSS 2024. Lecture Notes in Computer Science, vol 14931. Springer, Cham
Using cloud-based applications comes with privacy implications, as the end-user looses control over their data. While encrypting all data on the client is possible, it largely reduces the usefulness of database management systems (DBMS) that are typi
Externí odkaz:
http://arxiv.org/abs/2411.02084
Publikováno v:
SoftwareX, Volume 26, May 2024
This paper introduces CryptoAnalytics, a software toolkit for cryptocoins price forecasting with machine learning (ML) techniques. Cryptocoins are tradable digital assets exchanged for specific trading prices. While history has shown the extreme vola
Externí odkaz:
http://arxiv.org/abs/2409.04106
Publikováno v:
DEBS 2023: Proceedings of the 17th ACM International Conference on Distributed and Event-based Systems
Cryptocoins (i.e., Bitcoin, Ether, Litecoin) are tradable digital assets. Ownerships of cryptocoins are registered on distributed ledgers (i.e., blockchains). Secure encryption techniques guarantee the security of the transactions (transfers of coins
Externí odkaz:
http://arxiv.org/abs/2409.03674
Measuring the rate of innovation in academia and industry is fundamental to monitoring the efficiency and competitiveness of the knowledge economy. To this end, a disruption index (CD) was recently developed and applied to publication and patent cita
Externí odkaz:
http://arxiv.org/abs/2406.15311
In this paper we provide a first-ever epistemic formulation of stabilizing agreement, defined as the non-terminating variant of the well established consensus problem. In stabilizing agreements, agents are given (possibly different) initial values, w
Externí odkaz:
http://arxiv.org/abs/2403.01025
Autor:
Felber, Stephan, Galeana, Hugo Rincon
A substantial portion of distributed computing research is dedicated to terminating problems like consensus and similar agreement problems. However, non-terminating problems have been intensively studied in the context of self-stabilizing distributed
Externí odkaz:
http://arxiv.org/abs/2402.09168
Autor:
Ménétrey, Jämes, Pasin, Marcelo, Felber, Pascal, Schiavoni, Valerio, Mazzeo, Giovanni, Hollum, Arne, Vaydia, Darshan
Publikováno v:
TDSC: IEEE Transactions on Dependable and Secure Computing, November, 2023
In real-world scenarios, trusted execution environments (TEEs) frequently host applications that lack the trust of the infrastructure provider, as well as data owners who have specifically outsourced their data for remote processing. We present Twine
Externí odkaz:
http://arxiv.org/abs/2312.09087