NewsHive
CONTACT USANALYST PORTAL →
aiBACKGROUND

Federated Explainable Artificial Intelligence: Roles, Architectures, Evaluation,

BACKGROUND
1 SIGNALFIRST DETECTED 17 July 2026
Narrative synthesis pending — 1 signal collected.
How the story developed
17 Jul
Other feeds and industry voices
27 Mar
Agentic Trust Coordination for Federated Learning through Adaptive Thresholding and Autonomous Decision Making in Sustainable and Resilient Industrial Networks

arXiv:2603.25334v1 Announce Type: new Abstract: Distributed intelligence in industrial networks increasingly integrates sensing, communication, and computation across

REPORT · WHAT · ArXiv CS.AIOPEN STORY
28 Apr
Rethinking XAI Evaluation: A Human-Centered Audit of Shapley Benchmarks in High-Stakes Settings

arXiv:2604.22662v1 Announce Type: cross Abstract: Shapley values are a cornerstone of explainable AI, yet their proliferation into competing formulations has created a fragmented

REPORT · WHAT · ArXiv CS.AIOPEN STORY
5 Oct
HXAI: Hierarchical Privacy-Preserving Explainable AI in Distributed Energy Systems

arXiv:2610.02504v1 Announce Type: new Abstract: Balancing electricity demand and supply is increasingly difficult due to the inherent intermittency of renewable power generation

REPORT · WHAT · ArXiv CS.AIOPEN STORY
3 Jul
Auto-FL-Research: Agentic Search for Federated Learning Algorithms

arXiv:2607.01366v1 Announce Type: new Abstract: Federated learning (FL) research often depends on many small but consequential algorithmic choices: optimizer variants, server

REPORT · WHEN · ArXiv CS.AIOPEN STORY
25 Aug
Software Frameworks for Explainable AI in Time Series Classification: A Systematic Review

arXiv:2608.21449v1 Announce Type: new Abstract: Time series arise in a wide range of application domains and are analyzed using machine learning in decision-critical settings.

REPORT · HOW · ArXiv CS.AIOPEN STORY
9 Jul
PRoVeFL: Private Robust and Verifiable Aggregation in Federated Learning

arXiv:2607.06612v1 Announce Type: cross Abstract: Federated Learning (FL) enables multiple clients to collaboratively train machine learning models while retaining data locality,

REPORT · WHAT · ArXiv CS.AIOPEN STORY
Sources
ArXiv CS.AI

NewsHive monitors these sources continuously. All signal titles above link to the original reporting.

Intelligence by NewsHive. Need help navigating what this means for your business? Contact GeekyBee →