2 papers
cs.LG2026
Serverless gossip training of LSTM failure detectors: A matched-protocol comparison with federated, local and centralized learning on NASA C-MAPSS
Yusuf Öztürk, Enes Göktekin, Bengisu Atlı +3
Industrial predictive maintenance increasingly depends on learning from equipment spread across sites whose sensor data cannot easily be pooled. Federated averaging (FedAvg) solves…
cs.CV2026
Decentralized Gossip Learning and Federated Averaging for Histopathology Image Classification
Yusuf Ozturk, Enes Goltekin, Bengisu Atli +3
Breast histopathology analysis increasingly relies on distributed learning because direct data pooling across institutions is often restricted by privacy, governance, and communica…