Tootfinder

The Countdown to Collapse: Identifying Indicators in the Russian Federation. Ukraine in Flames #608: https://benborges.xyz/2024/05/07/the-countdown-to.html

On federating with Threads:
I’m interested in getting updates from POTUS. I’m following Joe Biden.
It is annoying that I cannot have a conversation with people on threads yet.
I consider anything I post here as public since it is already getting federated to servers I don’t control.
#threads

Hypothetically, if one were working on a #federated tool that allowed someone to export their #Mastodon #bookmarks into an alternate form - but where attribution back to the original bookmarked status is preserved. what co…

Suns star Devin Booker will be featured in Call of Duty https://www.espn.com/nba/story/_/id/39677388/devin-booker-phoenix-suns-call-duty-modern-warfare-iii

Suns star Devin Booker will be featured in Call of Duty
Phoenix Suns guard Devin Booker will be featured as a character in "Call of Duty: Modern Warfare III."

Hey! As I was just recently thinking about this photo so often, I just wanted to bring it back to you as well.
Just on sunday we were standing on a mountain, looking toward both the mountain in the back and the spot on the photo and planning to go there together - and all the time I had THIS photo and this day in my mind. Just 🥰🥰
Image:

Late Autumn by Franz Graf
Late Autumn Photograph by Franz Graf

FedClust: Optimizing Federated Learning on Non-IID Data through Weight-Driven Client Clustering
Md Sirajul Islam, Simin Javaherian, Fei Xu, Xu Yuan, Li Chen, Nian-Feng Tzeng
https://arxiv.org/abs/2403.04144

FedClust: Optimizing Federated Learning on Non-IID Data through Weight-Driven Client Clustering
Federated learning (FL) is an emerging distributed machine learning paradigm enabling collaborative model training on decentralized devices without exposing their local data. A key challenge in FL is the uneven data distribution across client devices, violating the well-known assumption of independent-and-identically-distributed (IID) training samples in conventional machine learning. Clustered federated learning (CFL) addresses this challenge by grouping clients based on the similarity of thei…

Chelsea Wolfe – The Liminal
#FediRadio

The Countdown to Collapse: Identifying Indicators in the Russian Federation The Russian state is one of the last land empires of modern times, and keeping many enslaved peoples in colonial dependence Source : https://uacrisis.org/en/ukraine-in-flames-608

Hey! As I was just recently thinking about this photo so often, I just wanted to bring it back to you as well.
Just on sunday we were standing on a mountain, looking toward both the mountain in the back and the spot on the photo and planning to go there together - and all the time I had THIS photo and this day in my mind. Just 🥰🥰
Image:

Late Autumn by Franz Graf
Late Autumn Photograph by Franz Graf

FedClust: Optimizing Federated Learning on Non-IID Data through Weight-Driven Client Clustering
Md Sirajul Islam, Simin Javaherian, Fei Xu, Xu Yuan, Li Chen, Nian-Feng Tzeng
https://arxiv.org/abs/2403.04144

FedClust: Optimizing Federated Learning on Non-IID Data through Weight-Driven Client Clustering
Federated learning (FL) is an emerging distributed machine learning paradigm enabling collaborative model training on decentralized devices without exposing their local data. A key challenge in FL is the uneven data distribution across client devices, violating the well-known assumption of independent-and-identically-distributed (IID) training samples in conventional machine learning. Clustered federated learning (CFL) addresses this challenge by grouping clients based on the similarity of thei…