AI ethics evidence index Search
Source-linked daily record
Evidence record 17933 · automatically gathered

Stream Learning: Partition-Fair Gossip Learning Without Tokens

In gossip learning, a network of nodes trains a shared model collaboratively, without a central coordinator, by repeatedly exchanging parts of their local models. The state-of-the-art protocol, Partitioned Token Gossip Learning (PTGL) of Heged{ü}s et al., splits the weight matrix into S fixed partitions and disseminates them using a token-based fairness mechanism coupled with per-neighbor metadata exchange. We revisit partition scheduling by analogy with peer-to-peer live streaming, where model

Record details

Published: 7 August 2026
Source: arXiv fairness query
Category: Research
Topics: Bias & fairness
Retrieved: 10 August 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Shared topic: Bias & fairness

Calibrating WEAT Against Anisotropy: ZCA Whitening as a Geometric Pre-Processing Step for Embedding Association Tests

arXiv · 7 August 2026

Shared topic: Bias & fairness

Conditional Cognitive Biases in LLMs: How Biased User Turns Modulate In-Context Reasoning

arXiv cs.CY · 7 August 2026

Shared topic: Bias & fairness

Who Gets Access? Global Region and Academic Status Bias in AI-Generated Academic Gatekeeping Scenarios

arXiv cs.CY · 7 August 2026

Shared topic: Bias & fairness

H2AL: Hyperbolic Hierarchy-aware Aggregative Learning for Registration-based Few-shot Medical Image Segmentation

arXiv cs.AI · 7 August 2026

Shared topic: Bias & fairness

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning

arXiv cs.CR (AI security) · 6 August 2026

Shared topic: Bias & fairness

Challenges in Evaluating Explanation Methods for Static and Evolving Data

arXiv cs.AI · 6 August 2026

How to cite this record

ethics.ai (7 August 2026), “Stream Learning: Partition-Fair Gossip Learning Without Tokens,” evidence record 17933, https://ethics.ai/record/17933 (originally published by arXiv fairness query).

JSON

Use and limitations

This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.