A distributed nwdaf architecture for federated learning in 5g
For network automation and intelligence in 5G, the network data analytics function (NWDAF)
has been introduced as a new network function. However, the existing centralized NWDAF …
has been introduced as a new network function. However, the existing centralized NWDAF …
Deep reinforcement learning assisted client selection in non-orthogonal multiple access based federated learning
To reap the benefit of big data generated by the massive number of Internet of Things (IoT)
devices while preserving data privacy, federated learning (FL) has been proposed to enable …
devices while preserving data privacy, federated learning (FL) has been proposed to enable …
Fedaux: An efficient framework for hybrid federated learning
As an enabler of sixth-generation communication technology (6G), Federated Learning (FL)
triggers a paradigm shift from" connected things" to" connected intelligence". FL implements …
triggers a paradigm shift from" connected things" to" connected intelligence". FL implements …
Moreau envelopes-based personalized asynchronous federated learning: Improving practicality in network edge intelligence
A Asad, MM Fouda, ZM Fadlullah… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Federated learning is a promising approach for training models on distributed data, driven
by increasing demand in various industries. However, federated learning framework faces …
by increasing demand in various industries. However, federated learning framework faces …
Artificial intelligence and machine learning in 5G and beyond: a survey and perspectives
The deployment of 4G/LTE (Long Term Evolution) mobile network has solved the major
challenge of high capacities, to build real broadband mobile Internet. This was possible …
challenge of high capacities, to build real broadband mobile Internet. This was possible …
Artificial intelligence-empowered resource management for future wireless communications: A survey
M Lin, Y Zhao - China Communications, 2020 - ieeexplore.ieee.org
How to explore and exploit the full potential of artificial intelligence (AI) technologies in future
wireless communications such as beyond 5G (B5G) and 6G is an extremely hot inter …
wireless communications such as beyond 5G (B5G) and 6G is an extremely hot inter …
Federated learning for internet of things: A comprehensive survey
The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …
Adafed: Optimizing participation-aware federated learning with adaptive aggregation weights
Federated learning (FL) has become one of the mainstream paradigms for multi-party
collaborative learning with privacy protection. As it is difficult to guarantee all FL devices to …
collaborative learning with privacy protection. As it is difficult to guarantee all FL devices to …
Fedair: Towards multi-hop federated learning over-the-air
P Pinyoanuntapong, P Janakaraj… - 2020 IEEE 21st …, 2020 - ieeexplore.ieee.org
Federated learning (FL) has emerged as a key technology for enabling next-generation AI at
scale. The classical FL systems use single-hop cellular links to deliver the local models from …
scale. The classical FL systems use single-hop cellular links to deliver the local models from …
In-network computation for large-scale federated learning over wireless edge networks
Most conventional Federated Learning (FL) models are using a star network topology where
all users aggregate their local models at a single server (eg, a cloud server). That causes …
all users aggregate their local models at a single server (eg, a cloud server). That causes …