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With files proactively stored at base stations (BSs), mobile edge caching enables direct content delivery without remote file fetching, which can reduce the end-to-end delay while relieving backhaul pressure. To effectively utilize the…

Networking and Internet Architecture · Computer Science 2017-10-25 Shan Zhang , Peter He , Katsuya Suto , Peng Yang , Lian Zhao , Xuemin , Shen

Coded caching aims to minimize the network's peak-time communication load by leveraging the information pre-stored in the local caches at the users. The original single file retrieval setting by Maddah-Ali and Niesen has been recently…

Information Theory · Computer Science 2021-02-04 Yinbin Ma , Daniela Tuninetti

Backpropagation, which uses the chain rule, is the de-facto standard algorithm for optimizing neural networks nowadays. Recently, Hinton (2022) proposed the forward-forward algorithm, a promising alternative that optimizes neural nets…

Machine Learning · Computer Science 2023-05-23 Guy Lorberbom , Itai Gat , Yossi Adi , Alex Schwing , Tamir Hazan

We consider checkpointing strategies that minimize the number of recomputations needed when performing discrete adjoint computations using multistage time-stepping schemes, which requires computing several substeps within one complete time…

Mathematical Software · Computer Science 2022-04-29 Hong Zhang , Emil Constantinescu

The well-known dictionary-based algorithms of the Lempel-Ziv (LZ) 77 family are the basis of several universal lossless compression techniques. These algorithms are asymmetric regarding encoding/decoding time and memory requirements, with…

Data Structures and Algorithms · Computer Science 2009-12-31 Artur Ferreira , Arlindo Oliveira , Mario Figueiredo

Recent advances in Large Language Models (LLMs) have revolutionized web applications, enabling intelligent search, recommendation, and assistant services with natural language interfaces. Tool-calling extends LLMs with the ability to…

Software Engineering · Computer Science 2026-01-23 Yi Zhai , Dian Shen , Junzhou Luo , Bin Yang

Federated multi-task learning (FMTL) aims to simultaneously learn multiple related tasks across clients without sharing sensitive raw data. However, in the decentralized setting, existing FMTL frameworks are limited in their ability to…

Machine Learning · Computer Science 2025-06-10 Chaouki Ben Issaid , Praneeth Vepakomma , Mehdi Bennis

This paper presents a comprehensive comparison of distributed caching algorithms employed in modern distributed systems. We evaluate various caching strategies including Least Recently Used (LRU), Least Frequently Used (LFU), Adaptive…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-04-04 Helen Mayer , James Richards

Treewidth is a measure of how tree-like a graph is. It has many important algorithmic applications because many NP-hard problems on general graphs become tractable when restricted to graphs of bounded treewidth. Algorithms for problems on…

Data Structures and Algorithms · Computer Science 2020-06-03 Johan M. M. van Rooij

Joint analysis of data from multiple sources has the potential to improve our understanding of the underlying structures in complex data sets. For instance, in restaurant recommendation systems, recommendations can be based on rating…

Numerical Analysis · Mathematics 2015-03-19 Evrim Acar , Tamara G. Kolda , Daniel M. Dunlavy

This article introduces a novel family of decentralised caching policies, applicable to wireless networks with finite storage at the edge-nodes (stations). These policies are based on the Least-Recently-Used replacement principle, and are,…

Performance · Computer Science 2016-06-22 Anastasios Giovanidis , Apostolos Avranas

We propose a new caching scheme where linear combinations of the file segments are cached at the users, for the cases where the number of files is no greater than the number of users. When a user requests a certain file in the delivery…

Information Theory · Computer Science 2016-05-02 Chao Tian , Jun Chen

Extract-Transform-Load (ETL) handles large amount of data and manages workload through dataflows. ETL dataflows are widely regarded as complex and expensive operations in terms of time and system resources. In order to minimize the time and…

Databases · Computer Science 2014-09-08 Xiufeng Liu

The Join operator, as one of the most expensive and commonly used operators in database systems, plays a substantial role in Database Management System (DBMS) performance. Among the many different Join algorithms studied over the last…

Databases · Computer Science 2021-12-07 Shiva Jahangiri , Michael J. Carey , Johann-Christoph Freytag

Towards the development of 6G mobile networks, it is promising to integrate a large number of devices from multi-dimensional platforms, and it is crucial to have a solid understanding of the theoretical limits of large-scale networks. We…

Information Theory · Computer Science 2025-09-19 Yanxiao Liu , Shenghao Yang , Cheuk Ting Li

The bulk of the research on Long Term Evolution/Long Term Evolution-Advanced packet scheduling is concentrated in the downlink and the uplink is comparatively less explored. In up-link, channel aware scheduling with throughput maximization…

Networking and Internet Architecture · Computer Science 2020-05-19 Atri Mukhopadhyay , Goutam Das

The fifth generation wireless networks must provide fast and reliable connectivity while coping with the ongoing traffic growth. It is of paramount importance that the required resources, such as energy and bandwidth, do not scale with…

Information Theory · Computer Science 2016-11-17 Maria Gregori , Jesús Gómez-Vilardebó , Javier Matamoros , Deniz Gündüz

Caching at the edge is a promising technique to cope with the increasing data demand in wireless networks. This paper analyzes the performance of cellular networks consisting of a tier macro-cell wireless backhaul nodes overlaid with a tier…

Information Theory · Computer Science 2017-05-25 Italo Atzeni , Marco Maso , Imène Ghamnia , Ejder Baştuğ , Mérouane Debbah

Existing studies have shown that the conventional multi-objective evolutionary algorithms (MOEAs) based on decomposition may lose the population diversity when solving some many-objective optimization problems. In this paper, a simple…

Neural and Evolutionary Computing · Computer Science 2018-06-29 Yingyu Zhang , Bing Zeng

Coded caching has the potential to greatly reduce network traffic by leveraging the cheap and abundant storage available in end-user devices so as to create multicast opportunities in the delivery phase. In the seminal work by Maddah-Ali…

Information Theory · Computer Science 2020-01-13 Kai Wan , Hua Sun , Mingyue Ji , Daniela Tuninetti , Giuseppe Caire