HCP: Heterogeneous computing platform for federated learning based collaborative content caching towards 6G networks
ZM Fadlullah, N Kato - IEEE Transactions on Emerging Topics …, 2020 - ieeexplore.ieee.org
A heterogeneous computing architecture is essential to facilitate intelligent network traffic
control for a joint computation, communication, and collaborative caching optimization in 6G …
control for a joint computation, communication, and collaborative caching optimization in 6G …
Proactive content caching for internet-of-vehicles based on peer-to-peer federated learning
To cope with the increasing content requests from emerging vehicular applications, caching
contents at edge nodes is imperative to reduce service latency and network traffic on the …
contents at edge nodes is imperative to reduce service latency and network traffic on the …
Federated learning based proactive content caching in edge computing
Content caching is a promising approach in edge computing to cope with the explosive
growth of mobile data on 5G networks, where contents are typically placed on local caches …
growth of mobile data on 5G networks, where contents are typically placed on local caches …
Federated deep reinforcement learning for Internet of Things with decentralized cooperative edge caching
Edge caching is an emerging technology for addressing massive content access in mobile
networks to support rapidly growing Internet-of-Things (IoT) services and applications …
networks to support rapidly growing Internet-of-Things (IoT) services and applications …
Proactive content caching by exploiting transfer learning for mobile edge computing
To address the vast multimedia traffic volume and requirements of user quality of experience
in the next‐generation mobile communication system (5G), it is imperative to develop …
in the next‐generation mobile communication system (5G), it is imperative to develop …
Mobility-aware cooperative caching in vehicular edge computing based on asynchronous federated and deep reinforcement learning
Vehicular edge computing (VEC) can learn and cache most popular contents for vehicular
users (VUs) in the roadside units (RSUs) to support real-time vehicular applications …
users (VUs) in the roadside units (RSUs) to support real-time vehicular applications …
Cooperative edge caching based on temporal convolutional networks
With the rapid growth of networked multimedia services in the Internet, wireless network
traffic has increased dramatically. However, the current mainstream content caching …
traffic has increased dramatically. However, the current mainstream content caching …
Adaptive federated deep reinforcement learning for proactive content caching in edge computing
With the aggravation of data explosion and backhaul loads on 5 G edge network, it is difficult
for traditional centralized cloud to meet the low latency requirements for content access. The …
for traditional centralized cloud to meet the low latency requirements for content access. The …
Feedback delay-tolerant proactive caching scheme based on federated learning at the wireless edge
N Lin, Y Wang, E Zhang, K Yu, L Zhao… - IEEE Networking …, 2023 - ieeexplore.ieee.org
Edge caching has emerged as a promising approach to meet explosive mobile data on 6G
networks. One critical issue in edge caching is file popularity prediction. The federated …
networks. One critical issue in edge caching is file popularity prediction. The federated …
Multi-agent reinforcement learning based cooperative content caching for mobile edge networks
To address the drastic growth of data traffic dominated by streaming of video-on-demand
files, mobile edge caching/computing (MEC) can be exploited to develop intelligent content …
files, mobile edge caching/computing (MEC) can be exploited to develop intelligent content …