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The state-of-the-art for training on-device language models for mobile keyboard applications combines federated learning (FL) with differential privacy (DP) via the DP-Follow-the-Regularized-Leader (DP-FTRL) algorithm. Two variants of…

Machine Learning · Computer Science 2025-06-02 H. Brendan McMahan , Zheng Xu , Yanxiang Zhang

This paper deals with the use of self-organizing protocols to improve the reliability of dynamic Peer-to-Peer (P2P) overlay networks. We present two approaches, that employ local knowledge of the 2nd neighborhood of nodes. The first scheme…

Networking and Internet Architecture · Computer Science 2016-11-15 Stefano Ferretti

There is much empirical evidence that item-item collaborative filtering works well in practice. Motivated to understand this, we provide a framework to design and analyze various recommendation algorithms. The setup amounts to online binary…

Machine Learning · Computer Science 2016-01-11 Guy Bresler , Devavrat Shah , Luis F. Voloch

Large Language Models (LLMs) have demonstrated significant capability in code generation, but their potential in code efficiency optimization remains underexplored. Previous LLM-based code efficiency optimization approaches exclusively…

Software Engineering · Computer Science 2025-10-22 Xiaoxue Ren , Jun Wan , Yun Peng , Zhongxin Liu , Ming Liang , Dajun Chen , Wei Jiang , Yong Li

Pluralistic alignment is typically operationalised as preference aggregation: producing responses that span (Overton), steer toward (Steerable), or proportionally represent (Distributional) diverse human values. We argue that aggregation…

Artificial Intelligence · Computer Science 2026-05-15 Varad Vishwarupe , Nigel Shadbolt , Marina Jirotka

The problem of data exchange involves a source schema, a target schema and a set of mappings from transforming the data between the two schemas. We study the problem of data exchange in the presence of privacy restrictions on the source.…

Databases · Computer Science 2019-03-25 Angela Bonifati , Ugo Comignani , Efthymia Tsamoura

Recently, large pretrained models (e.g., BERT, StyleGAN, CLIP) have shown great knowledge transfer and generalization capability on various downstream tasks within their domains. Inspired by these efforts, in this paper we propose a unified…

Computer Vision and Pattern Recognition · Computer Science 2021-12-02 Jing Shi , Ning Xu , Haitian Zheng , Alex Smith , Jiebo Luo , Chenliang Xu

The popularity of applying machine learning methods to computational linguistics problems has produced a large supply of trainable natural language processing systems. Most problems of interest have an array of off-the-shelf products or…

Computation and Language · Computer Science 2016-08-31 John C. Henderson

This paper proposes a fully decentralized peer-to-peer overlay structure GeoP2P, to facilitate geographic location based search and retrieval of information. Certain limitations of centralized geographic indexes favor peer-to-peer…

Networking and Internet Architecture · Computer Science 2009-03-24 Shah Asaduzzaman , Gregor v. Bochmann

Peer-to-Peer (P2P) systems have proved to be the most effective and popular file sharing applications in recent years. Previous studies mainly focus on the equal service and the differentiated service strategies when peers have no initial…

Networking and Internet Architecture · Computer Science 2013-04-12 Jianwei Zhang , Yongchao Wang , Wei Xing , Dongming Lu

XP is a code oriented, light weight software engineering methodology, suited merely for small sized teams who develop software that relies on vague or rapidly changing requirements. Being very code oriented, the discipline of systems…

Software Engineering · Computer Science 2014-09-25 Bernhard Rumpe , Peter Scholz

Large language models (LLMs) for code are increasingly used in software development, but they remain static after pretraining while APIs and software libraries continue to evolve. Model editing offers a lightweight alternative to retraining…

Software Engineering · Computer Science 2026-05-11 Vinaik Chhetri , Moghis Fereidouni , A. B Siddique , Umar Farooq

Random forests are considered a cornerstone in machine learning for their robustness and versatility. Despite these strengths, their conventional centralized training is ill-suited for the modern landscape of data that is often distributed,…

Machine Learning · Computer Science 2024-07-30 Penjan Antonio Eng Lim , Cheong Hee Park

High-quality answers in technical Q&A platforms like Stack Overflow (SO) are crucial as they directly influence software development practices. Poor-quality answers can introduce inefficiencies, bugs, and security vulnerabilities, and thus…

Software Engineering · Computer Science 2025-07-30 Saikat Mondal , Chanchal K. Roy

Large language models (LLMs) struggle with maintaining accurate knowledge due to conflicting/outdated parametric memories. While locate-and-edit methods address this, their reliance on models' internal representations leads to robustness…

Computation and Language · Computer Science 2025-05-23 Jianhao Yan , Futing Wang , Yun Luo , Yafu Li , Yue Zhang

Tokenisation is the first step in almost all NLP tasks, and state-of-the-art transformer-based language models all use subword tokenisation algorithms to process input text. Existing algorithms have problems, often producing tokenisations…

Computation and Language · Computer Science 2022-10-25 Edward Gow-Smith , Harish Tayyar Madabushi , Carolina Scarton , Aline Villavicencio

In scientific visualization, scalar fields are often compared through edit distances between their merge trees. Typical tasks include ensemble analysis, feature tracking and symmetry or periodicity detection. Tree edit distances represent…

Computational Geometry · Computer Science 2024-02-20 Florian Wetzels , Christoph Garth

In Peer-to-Peer (P2P) multichannel live streaming, helper peers with surplus bandwidth resources act as micro-servers to compensate the server deficiencies in balancing the resources between different channel overlays. With deployment of…

Networking and Internet Architecture · Computer Science 2014-06-11 Seyedakbar Mostafavi , Mehdi Dehghan

In this paper we investigate the \emph{approximate string matching problem} when the allowed edit operations are \emph{non-overlapping unbalanced translocations of adjacent factors}. Such kind of edit operations take place when two adjacent…

Data Structures and Algorithms · Computer Science 2021-01-05 Domenico Cantone , Simone Faro , Arianna Pavone

Despite significant progress in model editing methods, their application in real-world scenarios remains challenging as they often cause large language models (LLMs) to collapse. Among them, ROME is particularly concerning, as it could…

Computation and Language · Computer Science 2024-10-01 Wanli Yang , Fei Sun , Jiajun Tan , Xinyu Ma , Du Su , Dawei Yin , Huawei Shen
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