Gossip protocol ≈ Gossip protocol
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Decentralized learning works: An empirical comparison of gossip learning and federated learning Open
Machine learning over distributed data stored by many clients has important applications in use cases where data privacy is a key concern or central data storage is not an option. Recently, federated learning was proposed to solve this pro…
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Decentralized Federated Learning: A Segmented Gossip Approach Open
The emerging concern about data privacy and security has motivated the proposal of federated learning, which allows nodes to only synchronize the locally-trained models instead their own original data. Conventional federated learning archi…
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An Integrative Definition and Framework to Study Gossip Open
The omnipresence of workplace gossip makes understanding gossip processes imperative to understand social life in organizations. Although gossip research has recently increased across the social sciences, gossip is conceptualized in dispar…
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Decentralized Collaborative Learning of Personalized Models over Networks Open
We consider a set of learning agents in a collaborative peer-to-peer network, where each agent learns a personalized model according to its own learning objective. The question addressed in this paper is: how can agents improve upon their …
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Peer-to-peer-based integrated grid voltage support function for smart photovoltaic inverters Open
The increasing penetration of renewable energy sources is impacting the operation of the distribution grid. Whilst they are currently placing a burden on the distribution grid, it is generally agreed that these sources could also be used f…
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The Bright and Dark Side of Gossip for Cooperation in Groups Open
Recent experimental studies seem to concur that gossip is good for groups by showing that gossip stems from prosocial motives to protect group members from non-cooperators. Thus, these studies emphasize the "bright" side of gossip. However…
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Negative Gossip Decreases Targets’ Organizational Citizenship Behavior by Decreasing Social Inclusion. A Multi-Method Approach Open
Ample experimental evidence shows that negative gossip fosters cooperation in groups by increasing individuals’ reputational concerns. However, recent field studies showed that negative gossip decreases organizational citizenship behavior …
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Gossip Learning: Off the Beaten Path Open
The growing computational demands of model training tasks and the increased privacy awareness of consumers call for the development of new techniques in the area of machine learning. Fully decentralized approaches have been proposed, but a…
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Gossip training for deep learning Open
We address the issue of speeding up the training of convolutional networks. Here we study a distributed method adapted to stochastic gradient descent (SGD). The parallel optimization setup uses several threads, each applying individual gra…
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Silence Is Golden. Six Reasons Inhibiting the Spread of Third-Party Gossip Open
Most of the current literature on gossip describes gossipmongers as incessantly sharing evaluative and valuable information about an absent third party in teams, groups, communities, and organizations. However, potential gossipers can simi…
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Randomized and Efficient Time Synchronization in Dynamic Wireless Sensor Networks: A Gossip‐Consensus‐Based Approach Open
This paper proposes novel randomized gossip‐consensus‐based sync (RGCS) algorithms to realize efficient time calibration in dynamic wireless sensor networks (WSNs). First, the unreliable links are described by stochastic connections, refle…
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Epistemic Protocols for Distributed Gossiping Open
Gossip protocols aim at arriving, by means of point-to-point or group communications, at a situation in which all the agents know each other's secrets. We consider distributed gossip protocols which are expressed by means of epistemic logi…
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PEPPER Open
Recommender systems are proving to be an invaluable tool for extracting user-relevant content helping users in their daily activities (e.g., finding relevant places to visit, content to consume, items to purchase). However, to be effective…
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A Probabilistic Gossip-based Secure Protocol for Unstructured P2P Networks Open
Gossip based communication is an efficient tool to manage unstructured decentralized Peer-to-Peer (P2P) overlay connectivity. Such unstructured overlay connectivity is prone to security risks. Few malicious nodes are able to isolate all pe…
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Comparative Study of Distributed Consensus Gossip Algorithms for Network Size Estimation in Multi-Agent Systems Open
Determining the network size is a critical process in numerous areas (e.g., computer science, logistic, epidemiology, social networking services, mathematical modeling, demography, etc.). However, many modern real-world systems are so exte…
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Concordia: A Streamlined Consensus Protocol for Blockchain Networks Open
In this paper, we present a novel Byzantine fault-tolerant consensus protocol for sharded blockchain networks that does not rely on expensive leader-driven communication. The proposed protocol selects a single block proposer at a time and …
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Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning Open
Multi-simulator training has contributed to the recent success of Deep Reinforcement Learning by stabilizing learning and allowing for higher training throughputs. We propose Gossip-based Actor-Learner Architectures (GALA) where several ac…
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The double-edged sword of negative supervisor gossip: When and why negative supervisor gossip promotes versus inhibits feedback seeking behavior among gossip targets Open
How does being the target of negative supervisor gossip influence the functioning of targeted employees? We draw on feedback intervention theory to examine the beneficial and detrimental effects of negative supervisor gossip on targets’ fe…
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Have You Heard?: How Gossip Flows Through Workplace Email Open
We spend a significant part of our lives chatting about other people. In other words, we all gossip. Although sometimes a contentious topic, various researchers have shown gossip to be fundamental to social life—from small groups to large,…
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Distributed Consensus Gossip-Based Data Fusion for Suppressing Incorrect Sensor Readings in Wireless Sensor Networks Open
Incorrect sensor readings can cause serious problems in Wireless Sensor Networks (WSNs), potentially disrupting the operation of the entire system. As shown in the literature, they can arise from various reasons; therefore, addressing this…
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Asynchronous Decentralized Optimization in Directed Networks Open
A popular asynchronous protocol for decentralized optimization is randomized gossip where a pair of neighbors concurrently update via pairwise averaging. In practice, this creates deadlocks and is vulnerable to information delays. It can a…
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Parameters for Epistemic Gossip Problems Open
International audience
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Analyzing Network Coding (Gossip) Made Easy Open
We introduce projection analysis—a new technique to analyze the stopping time of protocols that are based on random linear network coding (RLNC). Projection analysis drastically simplifies, extends, and strengthens previous results on RLNC…
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On the Computational Complexity of Gossip Protocols Open
Gossip protocols deal with a group of communicating agents, each holding a private information, and aim at arriving at a situation in which all the agents know each other secrets. Distributed epistemic gossip protocols are particularly sim…
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Verification of Distributed Epistemic Gossip Protocols Open
Gossip protocols aim at arriving, by means of point-to-point or group communications, at a situation in which all the agents know each other secrets. Distributed epistemic gossip protocols use as guards formulas from a simple epistemic log…
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Trusternity Open
International audience
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Epistemic Protocols for Distributed Gossiping Open
Gossip protocols aim at arriving, by means of point-to-point or group communications, at a situation in which all the agents know each other's secrets. We consider distributed gossip protocols which are expressed by means of epistemic logi…
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Simple epistemic planning: generalised gossiping Open
The gossip problem, in which information (known as secrets) must be shared among a certain number of agents using the minimum number of calls, is of interest in the conception of communication networks and protocols. We extend the gossip p…
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Reinforced Secure Gossiping Against DoS Attacks in Post-Disaster Scenarios Open
During and after a disaster, the perceived quality of communication networks often becomes remarkably degraded with an increased ratio of packet losses due to physical damages of the networking equipment, disturbance to the radio frequency…
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Convergence Rate Analysis of Periodic Gossip Algorithms for One-Dimensional Lattice WSNs Open
Periodic gossip algorithms have generated a lot of interest due to their ability to compute the global statistics by using local pairwise communications among nodes. Simple execution, robustness to topology changes, and distributed nature …