2 papers
cs.LG2025
Owen Sampling Accelerates Contribution Estimation in Federated Learning
Hossein KhademSohi, Hadi Hemmati, Jiayu Zhou +1
Federated Learning (FL) aggregates information from multiple clients to train a shared global model without exposing raw data. Accurately estimating each client's contribution is e…
cs.CV2025
FedVSR: Towards Model-Agnostic Federated Learning in Video Super-Resolution
Ali Mollaahmadi Dehaghi, Hossein KhademSohi, Reza Razavi +2
Video super-resolution (VSR) aims to enhance low-resolution videos by leveraging both spatial and temporal information. While deep learning has led to impressive progress, it typic…