Federated Edge Intelligence and Edge Caching Mechanisms

نویسندگان

چکیده

Federated learning (FL) has emerged as a promising technique for preserving user privacy and ensuring data security in distributed machine contexts, particularly edge intelligence caching applications. Recognizing the prevalent challenges of imbalanced noisy impacting scalability resilience, our study introduces two innovative algorithms crafted FL within peer-to-peer framework. These aim to enhance performance, especially decentralized resource-limited settings. Furthermore, we propose client-balancing Dirichlet sampling algorithm with probabilistic guarantees mitigate oversampling issues, optimizing distribution among clients achieve more accurate reliable model training. Within specifics study, employed 10, 20, 40 Raspberry Pi devices practical scenario, simulating real-world conditions. The well-known FedAvg was implemented, enabling multi-epoch client training before weight integration. Additionally, examined influence dataset noise, culminating performance analysis that underscores how novel methods research significantly advance robust efficient techniques, thereby enhancing overall effectiveness applications, including caching.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Sufficient conditions for maximally edge-connected and super-edge-connected

Let $G$ be a connected graph with minimum degree $delta$ and edge-connectivity $lambda$. A graph ismaximally edge-connected if $lambda=delta$, and it is super-edge-connected if every minimum edge-cut istrivial; that is, if every minimum edge-cut consists of edges incident with a vertex of minimum degree.In this paper, we show that a connected graph or a connected triangle-free graph is maximall...

متن کامل

Edge Caching in a Small Cell Network

An explosive growth of the use of the public internet by mobile phones along with new high speed data technologies increases the challenge of mobile data delivery. The owners of popular media typically use content delivery networks (CDN) to distribute their content. Currently there is no collaboration between the CDNs and the mobile networks. In this paper we present a novel method for caching ...

متن کامل

Mobile Edge Caching: An Optimal Auction Approach

With the explosive growth of wireless data, the sheer size of the mobile traffic is challenging the capacity of current wireless systems. To tackle this challenge, mobile edge caching has emerged as a promising paradigm recently, in which the service providers (SPs) prefetch some popular contents in advance and cache them locally at the network edge. When requested, those locally cached content...

متن کامل

Binomial edge ideals and rational normal scrolls

‎Let $X=left(‎ ‎begin{array}{llll}‎ ‎ x_1 & ldots & x_{n-1}& x_n\‎ ‎ x_2& ldots & x_n & x_{n+1}‎ ‎end{array}right)$ be the Hankel matrix of size $2times n$ and let $G$ be a closed graph on the vertex set $[n].$ We study the binomial ideal $I_Gsubset K[x_1,ldots,x_{n+1}]$ which is generated by all the $2$-minors of $X$ which correspond to the edges of $G.$ We show that $I_G$ is Cohen-Macaula...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Information

سال: 2023

ISSN: ['2078-2489']

DOI: https://doi.org/10.3390/info14070414