Exploring the realities of Federated Learning in prostate cancer diagnosis
📊 14 datasets analyzed from 10 countries
🔍 FL aids mostly with moderate data, limits when data is scarce or abundant

#FederatedLearning #Healthcare #DataPrivacy https://tnyp.me/USDeKGGt/s

MoE federated learning gotcha: naive FedAvg merges ALL expert weights, even ones a client never activated - corrupting knowledge in untouched experts. FLEx (arXiv 2506.00965) fixes it: aggregate only non-expert params, graft a personalized expert from local activation. #FederatedLearning #MoE #FOSS

FederatedSkill (arXiv 2606.03143): trading raw trajectories for shared skill diffs hit 44.4% higher success, 37.5% less compute, privacy intact. Roger Federated's federations already trade adapters, not rollouts. #federatedlearning #opensource https://github.com/roger-federated/roger-federated

We the adopters of #FederatedLearning would like to acknowledge the people who are all too familiar with the light that bounces off their chrome tuning keys, whether they're on a bass or guitar.