#federatedlearning
Federated learning framework across multiple clients for #MRI prostate cancer detection https://doi.org/10.1148/ryai.240485 @rug.nl @nkinl.bsky.social #cancer #FederatedLearning #MachineLearning
November 8, 2025 at 11:15 AM
Lilly’s TuneLab shares high-value AI drug discovery models with biotechs using secure federated learning and large-scale compute.

jcsanalytics.com/index.php?vi...

#AI #DrugDiscovery #Biotech #FederatedLearning
November 8, 2025 at 1:14 AM
November 5, 2025 at 2:33 PM
Client selection is key in cross-silo #FederatedLearning. This #IEEEAccess paper breaks down strategy types (resource-based, data-centric, strategic) and uncovers research gaps, from regulations to incentives. @ieeeaccess.bsky.social

🔗 https://loom.ly/GoDDsFw
November 3, 2025 at 3:30 PM
Neural Robot Dynamics hits 0.1% reward error at CoRL

Neural Robot Dynamics debuts at CoRL 2025, modeling robot rewards with 0.1% error on a Franka reach task, per NVIDIA Research.

https://www.aistory.news/machine-learning/neural-robot-dynamics-hits-01-reward-error-at-corl/

#FederatedLearning #...
Neural Robot Dynamics hits 0.1% reward error at CoRL
Neural Robot Dynamics debuts at CoRL 2025, modeling robot rewards with 0.1% error on a Franka reach task, per NVIDIA Research.
www.aistory.news
November 3, 2025 at 12:04 AM
ICML 2024 highlights: trends shaping ML research now

ICML 2024 highlights the latest in SSMs, efficient fine-tuning, and tooling. See practical takeaways teams can apply this year.

https://www.aistory.news/machine-learning/icml-2024-highlights-trends-shaping-ml-research-now/

#FederatedLearning...
ICML 2024 highlights: trends shaping ML research now
ICML 2024 highlights the latest in SSMs, efficient fine-tuning, and tooling. See practical takeaways teams can apply this year.
www.aistory.news
October 31, 2025 at 11:04 PM
We would like to introduce the new publication in TAI, application of Thirty-Six Stratagems (三十六计) in medical image analysis, by Prof. Dapeng Wu, from City University of Hong Kong

www.sciltp.com/journals/tai...

#federatedlearning #medicalimageanalysis #trustworthymachinelearning #machineunlearning
October 29, 2025 at 2:54 AM
Our platform brings together:
🧠 Federated Learning
🔒 Secure Multi-Party Computation
⚖️ Differential Privacy

The result: synthetic data that mimics real patterns without exposing personal information.

#FederatedLearning #SyntheticData
October 28, 2025 at 10:25 AM
Our platform brings together:
🧠 Federated Learning
🔒 Secure Multi-Party Computation
⚖️ Differential Privacy

The result: synthetic data that mimics real patterns without exposing personal information.

#FederatedLearning #SyntheticData
October 28, 2025 at 9:49 AM
Федеративное обучение и пользовательские схемы агрегации

Практическое руководство по разработке и анализу надежных стратегий агрегирования

#ai #federatedlearning #news
Federated Learning and Custom Aggregation Schemes
towardsdatascience.com
October 23, 2025 at 9:43 PM
Federated Learning and Custom Aggregation Schemes

A practical guide to designing and analyzing robust aggregation strategies

#ai #federatedlearning #news
Federated Learning and Custom Aggregation Schemes
A practical guide to designing and analyzing robust aggregation strategies
towardsdatascience.com
October 23, 2025 at 9:30 PM
According to the announcement, the new federated learning algorithm achieves exact linear convergence, a notable result for the field. https://getnews.me/new-federated-learning-algorithm-achieves-exact-linear-convergence/ #federatedlearning #machinelearning #algorithm
October 8, 2025 at 6:20 PM
A Bregman Information estimator picks replay samples for an uncertainty‑aware memory reducing catastrophic forgetting in federated continual learning; presented at ICLR 2025. Read more: https://getnews.me/uncertainty-aware-memory-improves-online-federated-learning/ #federatedlearning
October 8, 2025 at 12:33 PM
Researchers introduced a new asynchronous federated learning method that reduces delay bias, according to a recent announcement. Read more: https://getnews.me/new-asynchronous-federated-learning-method-reduces-delay-bias/ #federatedlearning #asynchronous #ai
October 8, 2025 at 12:27 PM
New research adds fixes—input rescaling, log‑sum‑exp tricks and branching to make power transforms stable; tests on image and NLP data cut errors, higher accuracy. https://getnews.me/stable-power-transforms-for-machine-learning-and-federated-systems/ #powertransforms #federatedlearning
October 8, 2025 at 6:24 AM
A study proposes a federated learning method that estimates prediction‑score quantiles and sends noisy summaries, enabling approximate ROC and PR curves with Area Error bounds. https://getnews.me/federated-learning-enables-approximate-roc-and-pr-curve-evaluation/ #federatedlearning #privacy
October 8, 2025 at 6:16 AM
FedSSL‑AMC merges federated learning with self‑supervised CNN and SVM classification, beating supervised federated baselines on synthetic and over‑the‑air signal data. Read more: https://getnews.me/federated-self-supervised-learning-boosts-modulation-classification/ #federatedlearning #amc
October 8, 2025 at 5:51 AM
FedSurg EndoVis 2024 introduced the Appendix300 dataset and tested federated learning with generalization and adaptation tracks. https://getnews.me/fedsurg-challenge-shows-federated-learning-for-video-classification/ #fedsurg #federatedlearning #surgicalai
October 8, 2025 at 4:37 AM
FedSRD cuts federated fine‑tuning bandwidth by up to 90% and can boost model quality, in a paper posted October 2025. A lightweight variant FedSRD‑e targets edge devices. https://getnews.me/fedsrd-boosts-federated-fine-tuning-of-large-language-models/ #fedsrd #federatedlearning
October 8, 2025 at 2:59 AM
An adaptive federated learning framework uses a hyper‑parameter to adjust client and server learning rates, cutting manual tuning and delivering convergence on diverse devices. Read more: https://getnews.me/adaptive-federated-learning-using-dynamical-system-modeling/ #federatedlearning #adaptive
October 7, 2025 at 11:30 PM
A federated learning framework for Kubernetes cuts energy prediction error by 11.7% vs. centralized models while keeping data private. Presented at the 2025 IEEE Smart World Congress. https://getnews.me/federated-learning-enables-carbon-aware-container-orchestration/ #federatedlearning #kubernetes
October 7, 2025 at 9:05 PM
FedMuon, a federated‑learning version of the Muon optimizer, offers provable convergence for non‑convex problems. The preprint was posted Oct 4 2025. Read more: https://getnews.me/muons-proven-benefits-in-federated-learning-introducing-fedmuon/ #federatedlearning #fedmuon
October 7, 2025 at 8:03 PM
FIRE, a Fisher‑Information‑based method, cuts covariate shift in federated learning validation and adds up to a 5 % performance gain on shifted data, Oct 2025. https://getnews.me/new-method-uses-fisher-information-to-strengthen-federated-validation/ #federatedlearning #fisherinformation
October 7, 2025 at 7:45 PM