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pro vyhledávání: '"Hegde, Parikshit"'
In order to achieve the dual goals of privacy and learning across distributed data, Federated Learning (FL) systems rely on frequent exchanges of large files (model updates) between a set of clients and the server. As such FL systems are exposed to,
Externí odkaz:
http://arxiv.org/abs/2301.04430
In current blockchain systems, full nodes that perform all of the available functionalities need to store the entire blockchain. In addition to the blockchain, full nodes also store a blockchain-summary, called the \emph{state}, which is used to effi
Externí odkaz:
http://arxiv.org/abs/2207.05869
A multi-level random power transmit strategy that is used in conjunction with a random access protocol (RAP) (e.g. ALOHA, IRSA) is proposed to fundamentally increase the throughput in a distributed communication network. A SIR model is considered, wh
Externí odkaz:
http://arxiv.org/abs/2010.07430
One of the long-standing challenges in Artificial Intelligence for learning goal-directed behavior is to build a single agent which can solve multiple tasks. Recent progress in multi-task learning for goal-directed sequential problems has been in the
Externí odkaz:
http://arxiv.org/abs/1702.06053