Tootfinder

Mike Johnson says Newsom should be "tarred and feathered" (Andrew Solender/Axios)
https://www.axios.com/2025/06/10/la-protests-johnson-newsom-tarred-feathered
http://www.memeorandum.com/250610/p71#a250610p71

Mitigating Catastrophic Forgetting with Adaptive Transformer Block Expansion in Federated Fine-Tuning
Yujia Huo, Jianchun Liu, Hongli Xu, Zhenguo Ma, Shilong Wang, Liusheng Huang
https://arxiv.org/abs/2506.05977

Mitigating Catastrophic Forgetting with Adaptive Transformer Block Expansion in Federated Fine-Tuning
Federated fine-tuning (FedFT) of large language models (LLMs) has emerged as a promising solution for adapting models to distributed data environments while ensuring data privacy. Existing FedFT methods predominantly utilize parameter-efficient fine-tuning (PEFT) techniques to reduce communication and computation overhead. However, they often fail to adequately address the catastrophic forgetting, a critical challenge arising from continual adaptation in distributed environments. The tradit…

pFedSOP : Accelerating Training Of Personalized Federated Learning Using Second-Order Optimization
Mrinmay Sen, Chalavadi Krishna Mohan
https://arxiv.org/abs/2506.07159

pFedSOP : Accelerating Training Of Personalized Federated Learning Using Second-Order Optimization
Personalized Federated Learning (PFL) enables clients to collaboratively train personalized models tailored to their individual objectives, addressing the challenge of model generalization in traditional Federated Learning (FL) due to high data heterogeneity. However, existing PFL methods often require increased communication rounds to achieve the desired performance, primarily due to slow training caused by the use of first-order optimization, which has linear convergence. Additionally, many o…

With the #AAS246 presser number 3 came the press releases https://www.stsci.edu/contents/news-releases/2025/news-2025-018 (Moons of Uranus Surprise Scientists in NASA Hubble Study) and https://webbtelescope.org/contents/news-releases/2025/news-2025-125 (Frigid Exoplanet in Strange Orbit Imaged by NASA's Webb) and the paper "Silicate clouds and a circumplanetary disk in the YSES-1 exoplanet system" already covered in https://scicomm.xyz/@cosmos4u/114660217108691128 with the press release https://www.tcd.ie/news_events/top-stories/featured/silicate-clouds-discovered-in-atmosphere-of-distant-exoplanet/ (Silicate clouds discovered in atmosphere of distant exoplanet).

This https://arxiv.org/abs/2505.12453 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding
Federated recommender system (FedRec) has emerged as a solution to protect user data through collaborative training techniques. A typical FedRec involves transmitting the full model and entire weight updates between edge devices and the server, causing significant burdens to devices with limited bandwidth and computational power. While the sparsity of embedding updates provides opportunity for payload optimization, existing sparsity-aware federated protocols generally sacrifice privacy for effi…

Some WordPress veterans and the Linux Foundation start FAIR, a federated update network to decentralize WordPress infrastructure and boost supply chain security (Chris Stokel-Walker/Fast Company)
https://www.fastcompany.com/91347003/wordp

WordPress veterans launch FAIR project to tackle security and control concerns
Backed by the Linux Foundation, the new federated update network aims to decentralize WordPress infrastructure, strengthen supply chain security, and restore trust amid growing tensions with Automattic.

Publishing's class problem
The 2024 data shows a similar picture of middle-class origin dominance of publishing. Although there are year-on-year variations, since 2019 there has consistently been more than 60% proportions of middle-class origin people in publishing occupations. In the same period, working-class origin proportions have never been above 20%.
#FederatedMemory

MAA Press book on Graph Theory, by Beineke et al, now featured on the "New & Upcoming Releases" page:
https://bookstore.ams.org/content?PageName=bookstore-new-and-upcoming-releases
:k33: :k5: 📘

This https://arxiv.org/abs/2504.12849 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

FedX: Adaptive Model Decomposition and Quantization for IoT Federated Learning
Federated Learning (FL) allows collaborative training among multiple devices without data sharing, thus enabling privacy-sensitive applications on mobile or Internet of Things (IoT) devices, such as mobile health and asset tracking. However, designing an FL system with good model utility that works with low computation/communication overhead on heterogeneous, resource-constrained mobile/IoT devices is challenging. To address this problem, this paper proposes FedX, a novel adaptive model decompo…

FedShield-LLM: A Secure and Scalable Federated Fine-Tuned Large Language Model
Md Jueal Mia, M. Hadi Amini
https://arxiv.org/abs/2506.05640 https://…

FedShield-LLM: A Secure and Scalable Federated Fine-Tuned Large Language Model
Federated Learning (FL) offers a decentralized framework for training and fine-tuning Large Language Models (LLMs) by leveraging computational resources across organizations while keeping sensitive data on local devices. It addresses privacy and security concerns while navigating challenges associated with the substantial computational demands of LLMs, which can be prohibitive for small and medium-sized organizations. FL supports the development of task-specific LLMs for cross-silo applications…