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05/05/2023
FedNC: A Secure and Efficient Federated Learning Method Inspired by Network Coding
Federated Learning (FL) is a promising distributed learning mechanism wh...
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03/11/2023
FedLP: Layer-wise Pruning Mechanism for Communication-Computation Efficient Federated Learning
Federated learning (FL) has prevailed as an efficient and privacy-preser...
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10/05/2022
ISFL: Trustworthy Federated Learning for Non-i.i.d. Data with Local Importance Sampling
As a promising integrated computation and communication learning paradig...
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12/28/2020
Federated Multi-Agent Actor-Critic Learning for Age Sensitive Mobile Edge Computing
As an emerging technique, mobile edge computing (MEC) introduces a new p...
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05/21/2020
An Importance Aware Weighted Coding Theorem Using Message Importance Measure
There are numerous scenarios in source coding where not only the code le...
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02/20/2020
Storage Space Allocation Strategy for Digital Data with Message Importance
This paper mainly focuses on the problem of lossy compression storage fr...
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03/09/2019