1
Mesh LLM: distributed AI computing on iroh
分布式AI新方案：Mesh LLM通过模型分层分割，让多台中低端设备协同运行大模型，突破单机算力限制。
Article URL: https://www.iroh.computer/blog/mesh-llm Comments URL: https://news.ycombinator.com/item?id=48876505 Points: 99 # Comments: 26
2
FederatedSkill: Federated Learning for Agentic Skill Evolution
联邦学习新范式：让多个智能体在隐私保护下协同进化技能，分布式训练不止于模型参数。
arXiv:2606.03143v1 Announce Type: cross Abstract: Modern LLM agents increasingly rely on skill libraries to handle complex tasks, making skill evoluti…
3
Decoupled Training with Local Reinforcement Fine-Tuning in Federated Learning
联邦学习新范式：解耦训练结合本地强化微调，有效平衡通信效率与个性化模型性能，被ICML 2026收录。
arXiv:2605.27900v1 Announce Type: new Abstract: Federated Learning (FL) with pre-trained Vision-Language Models (VLMs) has emerged as a promising para…
4
Imece – Distributed AI inference using volunteer GPUs and FLOP token
用闲置GPU和FLOP代币激励，打造去中心化的分布式AI推理网络，开源项目值得关注。
Article URL: https://github.com/aslankose/imece Comments URL: https://news.ycombinator.com/item?id=48290623 Points: 1 # Comments: 0
5
Multi-agent Collaboration with State Management
多智能体协作中的状态管理新框架，解决分布式系统协调关键难题
arXiv:2605.20563v1 Announce Type: cross Abstract: Recent advances in multi-agent systems have shown great potential for solving complex tasks. However…
6
Distributional AGI Safety
最新arXiv论文探讨分布式通用人工智能（AGI）的安全壁垒，为AI治理提供新视角。
arXiv:2512.16856v2 Announce Type: replace Abstract: AI safety and alignment research has predominantly been focused on methods for safeguarding indivi…