1 citations · 3 across the 17 of their papers we have counts for
3 papers · 1 filter
FedCert: Federated Accuracy Certification
Minh Hieu Nguyen, Huu Tien Nguyen, Trung Thanh Nguyen +4
Federated Learning (FL) has emerged as a powerful paradigm for training machine learning models in a decentralized manner, preserving data privacy by keeping local data on clients.…
FedMAC: Tackling Partial-Modality Missing in Federated Learning with Cross-Modal Aggregation and Contrastive Regularization
Manh Duong Nguyen, Trung Thanh Nguyen, Huy Hieu Pham +3
Federated Learning (FL) is a method for training machine learning models using distributed data sources. It ensures privacy by allowing clients to collaboratively learn a shared gl…
Offline Model-Based Optimization via Policy-Guided Gradient Search
Yassine Chemingui, Aryan Deshwal, Trong Nghia Hoang +1
Offline optimization is an emerging problem in many experimental engineering domains including protein, drug or aircraft design, where online experimentation to collect evaluation…