Distributed learning in wireless networks: Recent progress and future challenges
The next-generation of wireless networks will enable many machine learning (ML) tools and
applications to efficiently analyze various types of data collected by edge devices for …
applications to efficiently analyze various types of data collected by edge devices for …
Federated learning in smart cities: Privacy and security survey
Over the last decade, smart cities (SC) have been developed worldwide. Implementing big
data and the internet of things improves the monitoring and integration of different …
data and the internet of things improves the monitoring and integration of different …
Communication-efficient and distributed learning over wireless networks: Principles and applications
Machine learning (ML) is a promising enabler for the fifth-generation (5G) communication
systems and beyond. By imbuing intelligence into the network edge, edge nodes can …
systems and beyond. By imbuing intelligence into the network edge, edge nodes can …
Privacy for free: Wireless federated learning via uncoded transmission with adaptive power control
Federated Learning (FL) refers to distributed protocols that avoid direct raw data exchange
among the participating devices while training for a common learning task. This way, FL can …
among the participating devices while training for a common learning task. This way, FL can …
Optimized power control design for over-the-air federated edge learning
Over-the-air federated edge learning (Air-FEEL) has emerged as a communication-efficient
solution to enable distributed machine learning over edge devices by using their data locally …
solution to enable distributed machine learning over edge devices by using their data locally …
Cooperative and competitive multi-agent systems: From optimization to games
Multi-agent systems can solve scientific issues related to complex systems that are difficult or
impossible for a single agent to solve through mutual collaboration and cooperation …
impossible for a single agent to solve through mutual collaboration and cooperation …
A comprehensive survey of v2x cybersecurity mechanisms and future research paths
Recent advancements in vehicle-to-everything (V2X) communication have notably improved
existing transport systems by enabling increased connectivity and driving autonomy levels …
existing transport systems by enabling increased connectivity and driving autonomy levels …
Over-the-Air Computation for 6G: Foundations, Technologies, and Applications
The rapid advancement of artificial intelligence technologies has given rise to diversified
intelligent services, which place unprecedented demands on massive connectivity and …
intelligent services, which place unprecedented demands on massive connectivity and …
Xor mixup: Privacy-preserving data augmentation for one-shot federated learning
User-generated data distributions are often imbalanced across devices and labels,
hampering the performance of federated learning (FL). To remedy to this non-independent …
hampering the performance of federated learning (FL). To remedy to this non-independent …
Private retrieval, computing, and learning: Recent progress and future challenges
Most of our lives are conducted in the cyberspace. The human notion of privacy translates
into a cyber notion of privacy on many functions that take place in the cyberspace. This …
into a cyber notion of privacy on many functions that take place in the cyberspace. This …