Lora networking techniques for large-scale and long-term iot: A down-to-top survey
Low-Power Wide-Area Networks (LPWANs) are an emerging Internet-of-Things (IoT)
paradigm, which caters to large-scale and long-term sensory data collection demand …
paradigm, which caters to large-scale and long-term sensory data collection demand …
NELoRa: Towards ultra-low SNR LoRa communication with neural-enhanced demodulation
Low-Power Wide-Area Networks (LPWANs) are an emerging Internet-of-Things (IoT)
paradigm marked by low-power and long-distance communication. Among them, LoRa is …
paradigm marked by low-power and long-distance communication. Among them, LoRa is …
PCube: Scaling LoRa concurrent transmissions with reception diversities
This article presents the design and implementation of PCube, a phase-based parallel
packet decoder for concurrent transmissions of LoRa nodes. The key enabling technology …
packet decoder for concurrent transmissions of LoRa nodes. The key enabling technology …
[HTML][HTML] Safeguarding cross-silo federated learning with local differential privacy
Federated Learning (FL) is a new computing paradigm in privacy-preserving Machine
Learning (ML), where the ML model is trained in a decentralized manner by the clients …
Learning (ML), where the ML model is trained in a decentralized manner by the clients …
Practical private aggregation in federated learning against inference attack
P Zhao, Z Cao, J Jiang, F Gao - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Federated learning (FL) enables multiple worker devices share local models trained on their
private data to collaboratively train a machine learning model. However, local models are …
private data to collaboratively train a machine learning model. However, local models are …
Learning-based joint optimization of energy delay and privacy in multiple-user edge-cloud collaboration MEC systems
The emergence of mobile edge computing (MEC) enables resource-limited user devices to
run computation-intensive applications with the aid of edge server, but the untrustworthiness …
run computation-intensive applications with the aid of edge server, but the untrustworthiness …
Deep reinforcement learning-based joint optimization of delay and privacy in multiple-user MEC systems
Multi-access Edge Computing (MEC) enables mobile users to run various delay-sensitive
applications via offloading computation tasks to MEC servers. However, the location privacy …
applications via offloading computation tasks to MEC servers. However, the location privacy …
A comparative approach to resurrecting the market of mod vehicular crowdsensing
With the popularity of Mobility-on-Demand (MOD) vehicles, a new market called MOD-
Vehicular-Crowdsensing (MOVE-CS) was introduced for drivers to earn more by collecting …
Vehicular-Crowdsensing (MOVE-CS) was introduced for drivers to earn more by collecting …
Loratrimmer: Optimal energy condensation with chirp trimming for lora weak signal decoding
LoRa has been widely used for the Internet of Things (IoT) due to its low power consumption
and long communication range. The standard LoRa demodulation process condenses the …
and long communication range. The standard LoRa demodulation process condenses the …
Garbage in, garbage out: Poisoning attacks disguised with plausible mobility in data aggregation
Location data are often aggregated to support a wide range of applications, such as mobility
management, point-of-interest recommendation, map inferences, and so on. However, these …
management, point-of-interest recommendation, map inferences, and so on. However, these …