From post

Reaching Approximate Byzantine Consensus with Multi-hop Communication.

, и . SSS, том 9212 из Lecture Notes in Computer Science, стр. 21-35. Springer, (2015)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

Collaboratively Learning the Best Option on Graphs, Using Bounded Local Memory., , и . CoRR, (2018)Reaching Approximate Byzantine Consensus with Multi-hop Communication., и . SSS, том 9212 из Lecture Notes in Computer Science, стр. 21-35. Springer, (2015)Simulation analysis of error correction method of headlamp detection based on driving direction., , , , и . WCNIS, стр. 290-294. IEEE, (2010)Multi-agent optimization in the presence of Byzantine adversaries: Fundamental limits., и . ACC, стр. 7183-7188. IEEE, (2016)Similarity distances between permutations., , и . ISIT, стр. 2267-2271. IEEE, (2014)A new safe lane-change trajectory model and collision avoidance control method for automatic driving vehicles., , , , , , , и . Expert Syst. Appl., (2020)Lack of Quorum Sensing Leads to Failure of Consensus in Temnothorax Ant Emigration., , и . SSS, том 13046 из Lecture Notes in Computer Science, стр. 209-228. Springer, (2021)Securing Distributed Gradient Descent in High Dimensional Statistical Learning., и . SIGMETRICS (Abstracts), стр. 83-84. ACM, (2019)Multi-level Intelligent Collaborative Computing Mechanism Based on DDQN for Smart Highways., , , , , и . BMSB, стр. 1-6. IEEE, (2023)Global Convergence of Federated Learning for Mixed Regression., , и . NeurIPS, (2022)