1 citations · 2 across the 5 of their papers we have counts for
5 papers
Boosting Neural Video Representation via Online Structural Reparameterization
Ziyi Li, Qingyu Mao, Shuai Liu +3
Neural Video Representation~(NVR) is a promising paradigm for video compression, showing great potential in improving video storage and transmission efficiency. While recent advanc…
Benchmarking Mutual Information-based Loss Functions in Federated Learning
Sarang S, Harsh D. Chothani, Qilei Li +2
Federated Learning (FL) has attracted considerable interest due to growing privacy concerns and regulations like the General Data Protection Regulation (GDPR), which stresses the i…
Hierarchical Knowledge Structuring for Effective Federated Learning in Heterogeneous Environments
Wai Fong Tam, Qilei Li, Ahmed M. Abdelmonie
Federated learning enables collaborative model training across distributed entities while maintaining individual data privacy. A key challenge in federated learning is balancing th…
Mitigating Malicious Attacks in Federated Learning via Confidence-aware Defense
Qilei Li, Ahmed M. Abdelmoniem
Federated Learning (FL) is a distributed machine learning diagram that enables multiple clients to collaboratively train a global model without sharing their private local data. Ho…
Mitigate Domain Shift by Primary-Auxiliary Objectives Association for Generalizing Person ReID
Qilei Li, Shaogang Gong
While deep learning has significantly improved ReID model accuracy under the independent and identical distribution (IID) assumption, it has also become clear that such models degr…