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cs.LG2026
The Geometry of Randomized Smoothing on Feasible Sets
Syed Izhan Khilji, Alireza Furutanpey, Schahram Dustdar
Randomized smoothing certifies the probability of a fixed output event as the center of Gaussian noise moves. Feasibility or confidence filtering reports label probabilities only a…
cs.LG2026
FANS: Federated Adaptive Network Search Learning for Heterogeneous Devices
Jiaxin Zhang, Xingwei Wang, Bo Yi +6
Heterogeneous Federated Learning (HFL) aims to train models across devices with diverse resource budgets while preserving data privacy. Existing HFL methods typically bind training…
cs.LG2026
Principled Direction-Free Intrinsic Motivation through Model-Free Epistemic Free-Energy Estimators
Alireza Furutanpey, Schahram Dustdar
Across environments with mixed sources of uncertainty, unsupervised reinforcement learning requires intrinsic motivation that does not precommit to a particular direction of surpri…