New Findings from Indian Institute of Technology Guwahati in the Area of Computa tional Intelligence Reported (Content-aware Caching At the Mobile Edge Network U sing Federated Learning)
New Findings from Indian Institute of Technology Guwahati in the Area of Computa tional Intelligence Reported (Content-aware Caching At the Mobile Edge Network U sing Federated Learning)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning - Comp utational Intelligence is now available. According to news reporting from Assam, India, by NewsRx journalists, research stated, "The explosive growth of mobile data traffic generated primarily from resource-hungry video streaming sessions c hallenges the service providers to deliver a better Quality of Service to the he terogeneous end-users. Content caching in Edge Computing is a promising solution to cope with this exponential rise in video traffic." The news correspondents obtained a quote from the research from the Indian Insti tute of Technology Guwahati, "The most popular videos are typically stored in th e local caches of edge servers to provide fast and continuous access to videos. However, various edge caching strategies fail to cope with the dynamic request p atterns of the users. Most learning-based caching models are generally trained i n a centralized way, which overconsumes the network resources during training an d transmission of video requests. Therefore, we propose a Federated Learning-bas ed Reinforcement Learning caching framework called FedCache in this work. In Fed Cache, the training is decentralised on the end-user devices with its local data . The trained parameters from the end users are aggregated at the central server ."
Key words
Assam/India/Asia/Computational Intell igence/Machine Learning/Indian Institute of Technology Guwahati
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