Tootfinder

Federation problems is just something we have to live with in the Fediverse.
Federating has its pros and cons.
I'm Swiss. We know these things.
#switzerland #fediverse #justswissthings

PracMHBench: Re-evaluating Model-Heterogeneous Federated Learning Based on Practical Edge Device Constraints
Yuanchun Guo, Bingyan Liu, Yulong Sha, Zhensheng Xian
https://arxiv.org/abs/2509.08750

PracMHBench: Re-evaluating Model-Heterogeneous Federated Learning Based on Practical Edge Device Constraints
Federating heterogeneous models on edge devices with diverse resource constraints has been a notable trend in recent years. Compared to traditional federated learning (FL) that assumes an identical model architecture to cooperate, model-heterogeneous FL is more practical and flexible since the model can be customized to satisfy the deployment requirement. Unfortunately, no prior work ever dives into the existing model-heterogeneous FL algorithms under the practical edge device constraints and p…

who up federating they universe

who up federating they universe