Sign Up to like & get
recommendations!
1
Published in 2022 at "Physical review letters"
DOI: 10.1103/physrevlett.129.180501
Abstract: In the absence of quantum repeaters, quantum communication proved to be nearly impossible across optical fibers longer than ≳20 km due to the drop of transmissivity below the critical threshold of 1/2. However, if the signals…
read more here.
Keywords:
efficiency high;
communication;
optical fibers;
quantum communication ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2018 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2018.2842042
Abstract: The efficiency of secret reconstruction, measured by either channel efficiency or communication efficiency, is always a challenging issue in designing secret sharing schemes and has received considerable attention in recent years. In this letter, aiming…
read more here.
Keywords:
secret reconstruction;
efficiency;
communication efficiency;
optimal communication ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2024 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2024.3410634
Abstract: The distributed computation of a Nash equilibrium (NE) for non-cooperative games is gaining increased attention recently. Due to the nature of distributed systems, privacy and communication efficiency are two critical concerns. Traditional approaches often address…
read more here.
Keywords:
communication efficiency;
nash equilibrium;
linear convergence;
Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE/ASME Transactions on Mechatronics"
DOI: 10.1109/tmech.2021.3059441
Abstract: An efficiency-oriented solution is theoretically a preferred choice to support the efficient operation of a system. Although some studies on the multimanipulator system share the load of the control center by transforming the network topology,…
read more here.
Keywords:
control;
communication;
communication efficiency;
distributed cooperative ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2025 at "Future Internet"
DOI: 10.3390/fi17010018
Abstract: Federated Learning (FL) is a distributed machine-learning paradigm that enables models to be trained across multiple decentralized devices or servers holding local data without transferring the raw data to a central location. However, applying FL…
read more here.
Keywords:
communication efficiency;
heterogeneous iot;
hierarchical aggregation;
federated learning ... See more keywords