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Recent trends in high-performance computing and deep learning have led to the proliferation of studies on large-scale deep neural network training. However, the frequent communication requirements among computation nodes drastically slows…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-01-27 Shuo Ouyang , Dezun Dong , Yemao Xu , Liquan Xiao

We study cost-effective communication strategies that can be used to improve the performance of distributed learning systems in resource-constrained environments. For distributed learning in sequential decision making, we propose a new…

Machine Learning · Computer Science 2020-04-15 Udari Madhushani , Naomi Ehrich Leonard

Coordinated teamwork is essential in fast-paced decision-making environments that require dynamic adaptation, often without an opportunity for explicit communication. Although implicit coordination has been extensively considered in the…

Artificial Intelligence · Computer Science 2025-09-12 Thuy Ngoc Nguyen , Anita Williams Woolley , Cleotilde Gonzalez

We study stochastic multi-agent systems in which agents must cooperate to maximize the probability of achieving a common reach-avoid objective. In many applications, during the execution of the system, the communication between the agents…

Multiagent Systems · Computer Science 2025-05-20 Saleh Soudijani , Rayna Dimitrova

Interconnecting multiple sensor networks is a relatively new research field which has emerged in the Wireless Sensor Network domain. Wireless Sensor Networks (WSNs) have typically been seen as logically separate, and few works have…

Networking and Internet Architecture · Computer Science 2015-03-20 Sougata Pal , Simon Oechsner , Boris Bellalta , Miquel Oliver

In recent years, multi-task prompt tuning has garnered considerable attention for its inherent modularity and potential to enhance parameter-efficient transfer learning across diverse tasks. This paper aims to analyze and improve the…

Artificial Intelligence · Computer Science 2025-09-12 Ahmad Pouramini , Hesham Faili

We investigate fast and communication-efficient algorithms for the classic problem of minimizing a sum of strongly convex and smooth functions that are distributed among $n$ different nodes, which can communicate using a limited number of…

Optimization and Control · Mathematics 2021-06-21 Foivos Alimisis , Peter Davies , Dan Alistarh

This paper investigates an uplink multi-user covert communication system with spatially distributed users. Unlike prior works that approximate channel statistics using averaged parameters and homogeneous assumptions, this study explicitly…

Signal Processing · Electrical Eng. & Systems 2026-03-27 Jinyoung Lee , Hyeonsik Yeom

In this paper we study the inherent trade-off between time and communication complexity for the distributed consensus problem. In our model, communication complexity is measured as the maximum data throughput (in bits per second) sent…

Systems and Control · Computer Science 2014-10-07 Federico Rossi , Marco Pavone

We revisit performance metrics for optical communication systems with FEC. We illustrate the concept of universality and discuss the most widespread performance thresholds. Finally, we show by example how to include FEC into transmission…

Information Theory · Computer Science 2022-04-12 Laurent Schmalen

The explosion of the number of low-power devices in the next decades calls for a re-thinking of wireless network design, namely, unifying wireless transmission of information and power so as to make the best use of the RF spectrum,…

Information Theory · Computer Science 2019-09-17 Morteza Varasteh , Jakob Hoydis , Bruno Clerckx

The digitization of the world has also led to a digitization of communication processes. Traditional research methods fall short in understanding communication in digital worlds as the scope has become too large in volume, variety, and…

Computers and Society · Computer Science 2020-01-03 André Calero Valdez , Lena Adam , Dennis Assenmacher , Laura Burbach , Malte Bonart , Lena Frischlich , Philipp Schaer

This paper provides an in-depth characterization of GPU-accelerated systems, to understand the interplay between overlapping computation and communication which is commonly employed in distributed training settings. Due to the large size of…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-07-08 Seonho Lee , Jihwan Oh , Junkyum Kim , Seokjin Go , Jongse Park , Divya Mahajan

Recently, there has been an increasing interest in designing distributed convex optimization algorithms under the setting where the data matrix is partitioned on features. Algorithms under this setting sometimes have many advantages over…

Machine Learning · Computer Science 2016-12-05 Zihao Chen , Luo Luo , Zhihua Zhang

We consider the problem of distributed computation of a target function over a multiple-access channel. If the target and channel functions are matched (i.e., compute the same function), significant performance gains can be obtained by…

Information Theory · Computer Science 2013-03-28 Nikhil Karamchandani , Urs Niesen , Suhas Diggavi

By using communication between multiple agents in multi-agent environments, one can reduce the effects of partial observability by combining one agent's observation with that of others in the same dynamic environment. While a lot of…

We study mathematical models of the collaborative solving of a two-choice discrimination task. We estimate the difference between the shared performance for a group of n observers over a single person performance. Our paper is a theoretical…

Physics and Society · Physics 2013-03-13 Piotr Migdał , Michał Denkiewicz , Joanna Rcaczaszek-Leonardi , Dariusz Plewczynski

In coded bi-directional cooperation, two nodes wish to exchange messages over a shared half-duplex channel with the help of a relay. In this paper, we derive performance bounds for this problem for each of three protocols. The first…

Information Theory · Computer Science 2008-06-05 Sang Joon Kim , Patrick Mitran , Vahid Tarokh

The study explores the effects of motivational climate on communication features, emotional states, collective efficacy, and performance in collaborative gaming environments. Forty participants with no prior gaming experience were randomly…

Human-Computer Interaction · Computer Science 2025-11-25 Omer Eldadi , Yarin Dekimhi , Gershon Tenenbaum

Distributed optimization increasingly plays a central role in economical and sustainable operation of cyber-physical systems. Nevertheless, the complete potential of the technology has not yet been fully exploited in practice due to…

Optimization and Control · Mathematics 2017-10-24 Sindri Magnusson , Chinwendu Enyioha , Na Li , Carlo Fischione , Vahid Tarokh