Related papers: Network Coding for Delay Tolerant Networks with By…
This paper has been withdrawn by the authors due to some fatal errors in the analysis.
This paper has been withdrawn
This paper was withdrawn by the authors.
This paper has been withdrawn.
This paper has been withdrawn.
Distributed learning has become a necessity for training ever-growing models by sharing calculation among several devices. However, some of the devices can be faulty, deliberately or not, preventing the proper convergence. As a matter of…
Network coding is an elegant technique where, instead of simply relaying the packets of information they receive, the nodes of a network are allowed to combine \emph{several} packets together for transmission and this technique can be used…
This paper was withdrawn by the authors.
This paper has been withdrawn by the authors.
This paper has been withdrawn by the authors due to numerical problems to get viable results.
This paper has been withdrawn
This paper has been withdrawn by the authors
This paper has been withdrawn by the author.
Delay tolerant Networks (DTNs) leverage the mobility of relay nodes to compensate for lack of permanent connectivity and thus enable communication between nodes that are out of range of each other. To decrease message delivery delay, the…
This paper has been withdrawn.
This paper has been withdrawn by the authors due to an unlikely results.
This paper has been withdrawn by the author(s)
While the last few decades have witnessed a huge body of work devoted to inference and learning in distributed and decentralized setups, much of this work assumes a non-adversarial setting in which individual nodes---apart from occasional…
This paper has been withdrawn by the author because it needs a deep methodological revision.
In distributed learning, a central server trains a model according to updates provided by nodes holding local data samples. In the presence of one or more malicious servers sending incorrect information (a Byzantine adversary), standard…