Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Cao, Houwei"'
Federated Learning (FL) aims to train a shared model using data and computation power on distributed agents coordinated by a central server. Decentralized FL (DFL) utilizes local model exchange and aggregation between agents to reduce the communicati
Externí odkaz:
http://arxiv.org/abs/2408.14001
While live 360 degree video streaming delivers immersive viewing experience, it poses significant bandwidth and latency challenges for content delivery networks. Edge servers are expected to play an important role in facilitating live streaming of 36
Externí odkaz:
http://arxiv.org/abs/2312.13470
Edge caching plays an increasingly important role in boosting user content retrieval performance while reducing redundant network traffic. The effectiveness of caching ultimately hinges on the accuracy of predicting content popularity in the near fut
Externí odkaz:
http://arxiv.org/abs/2210.02657
Automatic emotion recognition for real-life appli-cations is a challenging task. Human emotion expressions aresubtle, and can be conveyed by a combination of several emo-tions. In most existing emotion recognition studies, each audioutterance/video c
Externí odkaz:
http://arxiv.org/abs/2203.03428
Mobile apps are increasingly relying on high-throughput and low-latency content delivery, while the available bandwidth on wireless access links is inherently time-varying. The handoffs between base stations and access modes due to user mobility pres
Externí odkaz:
http://arxiv.org/abs/2104.12959
Edge caching will play a critical role in facilitating the emerging content-rich applications. However, it faces many new challenges, in particular, the highly dynamic content popularity and the heterogeneous caching configurations. In this paper, we
Externí odkaz:
http://arxiv.org/abs/2101.05885
Publikováno v:
In Computer Networks September 2023 233
Publikováno v:
In Computer Networks 26 February 2022 204
Publikováno v:
In Computer Networks 9 December 2020 182
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