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Communication-efficient edge AI: Algorithms and systems
Artificial intelligence (AI) has achieved remarkable breakthroughs in a wide range of fields,
ranging from speech processing, image classification to drug discovery. This is driven by the …
ranging from speech processing, image classification to drug discovery. This is driven by the …
A survey on over-the-air computation
Communication and computation are often viewed as separate tasks. This approach is very
effective from the perspective of engineering as isolated optimizations can be performed …
effective from the perspective of engineering as isolated optimizations can be performed …
Federated learning via over-the-air computation
The stringent requirements for low-latency and privacy of the emerging high-stake
applications with intelligent devices such as drones and smart vehicles make the cloud …
applications with intelligent devices such as drones and smart vehicles make the cloud …
Over-the-air computation systems: Optimization, analysis and scaling laws
For future Internet-of-Things based Big Data applications, data collection from ubiquitous
smart sensors with limited spectrum bandwidth is very challenging. On the other hand, to …
smart sensors with limited spectrum bandwidth is very challenging. On the other hand, to …
MIMO over-the-air computation for high-mobility multimodal sensing
In future Internet-of-Things networks, sensors or even access points can be mounted on
ground/aerial vehicles for smart-city surveillance or environment monitoring. For such high …
ground/aerial vehicles for smart-city surveillance or environment monitoring. For such high …
Over-the-air computation via intelligent reflecting surfaces
Over-the-air computation (AirComp) becomes a promising approach for fast wireless data
aggregation via exploiting the superposition property in a multiple access channel. To …
aggregation via exploiting the superposition property in a multiple access channel. To …
Federated learning and meta learning: Approaches, applications, and directions
Over the past few years, significant advancements have been made in the field of machine
learning (ML) to address resource management, interference management, autonomy, and …
learning (ML) to address resource management, interference management, autonomy, and …
Multiple access in the era of distributed computing and edge intelligence
This article focuses on the latest research and innovations in fundamental next-generation
multiple access (NGMA) techniques and the coexistence with other key technologies for the …
multiple access (NGMA) techniques and the coexistence with other key technologies for the …
Wireless federated distillation for distributed edge learning with heterogeneous data
Cooperative training methods for distributed machine learning typically assume noiseless
and ideal communication channels. This work studies some of the opportunities and …
and ideal communication channels. This work studies some of the opportunities and …
Joint optimization of communications and federated learning over the air
Federated learning (FL) is an attractive paradigm for making use of rich distributed data
while protecting data privacy. Nonetheless, non-ideal communication links and limited …
while protecting data privacy. Nonetheless, non-ideal communication links and limited …