Zobrazeno 1 - 5
of 5
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
Autor:
Ittay Eyal, Juan Garay
This book constitutes revised selected papers from the proceedings of the 26th International Conference on Financial Cryptography and Data Security, FC 2022, which was held in Grenada during May 2022.The 32 full papers and 4 short papers included in