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Peva Blanchard
Peva Blanchard
Post-doctoral, LPD, EPFL
Verified email at epfl.ch
Title
Cited by
Cited by
Year
Machine learning with adversaries: Byzantine tolerant gradient descent
P Blanchard, EM El Mhamdi, R Guerraoui, J Stainer
Advances in neural information processing systems 30, 2017
17802017
Byzantine-tolerant machine learning
P Blanchard, EME Mhamdi, R Guerraoui, J Stainer
arXiv preprint arXiv:1703.02757, 2017
622017
Self-stabilizing leader election in population protocols over arbitrary communication graphs
J Beauquier, P Blanchard, J Burman
International Conference on Principles of Distributed Systems, 38-52, 2013
482013
Practically self-stabilizing paxos replicated state-machine
P Blanchard, S Dolev, J Beauquier, S Delaët
International Conference on Networked Systems, 99-121, 2014
322014
Tight complexity analysis of population protocols with cover times—the Zebranet example
J Beauquier, P Blanchard, J Burman, S Delaët
Theoretical Computer Science 512, 15-27, 2013
132013
The entropy of a distributed computation random number generation from memory interleaving
K Antoniadis, P Blanchard, R Guerraoui, J Stainer
Distributed Computing 31, 389-417, 2018
112018
Brief announcement: Byzantine-tolerant machine learning
P Blanchard, EM El Mhamdi, R Guerraoui, J Stainer
Proceedings of the ACM Symposium on Principles of Distributed Computing, 455-457, 2017
52017
Self-stabilizing paxos
P Blanchard, S Dolev, J Beauquier, S Delaët
arXiv preprint arXiv:1305.4263, 2013
52013
On the Power of Oracle for Self-Stabilizing Leader Election in Population Protocols
J Beauquier, P Blanchard, J Burman, O Denysyuk
International Symposium on Stabilization, Safety, and Security of …, 2016
42016
Computing time complexity of population protocols with cover times-the zebranet example
J Beauquier, P Blanchard, J Burman, S Delaët
Stabilization, Safety, and Security of Distributed Systems: 13th …, 2011
42011
Concurrency as a random number generator-technical report
PF Blanchard, R Guerraoui, JM Stainer, K Antoniadis
32016
Byzantine tolerant gradient descent for distributed machine learning with adversaries
P Blanchard, R Guerraoui, J Stainer
US Patent App. 16/767,802, 2020
22020
The benefits of entropy in population protocols
J Beauquier, P Blanchard, J Burman, R Guerraoui
19th International Conference on Principles of Distributed Systems (OPODIS 2015), 2016
22016
The weakest Oracle for symmetric consensus in population protocols
J Beauquier, P Blanchard, J Burman, S Kutten
Algorithms for Sensor Systems: 11th International Symposium on Algorithms …, 2015
22015
On the smallest grain of salt to get a unique identity
P Blanchard, R Guerraoui
Structural Information and Communication Complexity: 24th International …, 2017
12017
The disclosure power of shared objects
P Blanchard, R Guerraoui, J Stainer, I Zablotchi
Networked Systems: 5th International Conference, NETYS 2017, Marrakech …, 2017
12017
Oracles for selfstabilizing leader election in population protocols
J Beauquier, P Blanchard, J Burman, O Denysyuk
Technical report, INRIA, 2013. http://hal. archives-ouvertes. fr/hal-00839759, 2013
12013
Том. Part F129314. PODC 2017-Proceedings of the ACM Symposium on Principles of Distributed Computing.-Сер. PODC 2017-Proceedings of the ACM Symposium on Principles of …
L Beranboim, T Maimon, M Elkin, O Freedman, P Gawrychowski, ...
2017
CoRNG: Concurrency as a Random Number Generator
K Antoniadis, PF Blanchard, R Guerraoui, JM Stainer
2016
Concurrency as a Random Number Generator-Companion Technical Report
PF Blanchard, R Guerraoui, JM Stainer
2016
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