Iman Sharei·4h agoFederated Quantum ML, Hands OnChen and Yoo’s hybrid quantum classifier, plus a federated VQC you can run in PennyLane
Iman Sharei·4h agoHow Gradients Leak Your Private DataFederated learning keeps your data at home, but the updates it sends can still give it away
Kavith Rashintha·1d agoWhen FedAvg Falls Short: Understanding FedProx for Real-World Federated LearningThis article is about the algorithm that was built to handle the exact problems of FedAvg. It is called FedProx, and its main idea fits in…
Iman Sharei·5d agoFederatedAveraging, DissectedThe algorithm, the math, and the experiments behind McMahan et al.’s FedAvg (AISTATS 2017), plus what it leaves unanswered
Iman Sharei·5d agoShip the Model, Not the DataA practical walkthrough of FedAvg vs FedSGD (McMahan et al., 2017), with a 60-line NumPy simulation you can run
Iman Sharei·5d agoYour Phone Learns. Your Texts Stay Home.How federated learning lets millions of phones train one AI model without anyone uploading their private data
Adityamane Empirical·Oct 25What If Two AI Models Could Learn From Each Other Without Sharing Their Data?Imagine two artificial intelligence systems that have never seen each other’s datasets, yet both become smarter by learning from what the…A response icon1A response icon1
Srinivas Bommena·Oct 22Five Pharma Companies Trained One AI Model Without Sharing Their DataHow competing pharmaceutical companies used federated learning to improve AI accuracy — and what enterprise architects can learn from their…
Kavith Rashintha·Oct 15How Federated Learning Actually Works: A Complete Guide to FedAvgThe algorithm that lets a central server combine everyone’s learning into one model without ever seeing their data.
Heewon (Claire) Kim·Oct 14Federated Learning Is Not New. So Why Are We Talking About It Again?Last month, I attended Civo Navigate London, and I’d like to share one of the insights that stayed with me from the conference.
