3 citations · 3 across the 1 of their papers we have counts for
2 papers
cs.LG2026
Upholding Robustness in Federated Learning: Trends, Emerging Strategies, and Research Opportunities
Pravija Raj P, Ashish Gupta, Andrea Augello +1
While Federated Learning (FL) has been widely adopted for protecting user privacy in machine learning, it remains vulnerable to various robustness challenges, including performance…
cs.LG2024★ 3 cited
Tackling Selfish Clients in Federated Learning
Andrea Augello, Ashish Gupta, Giuseppe Lo Re +1
Federated Learning (FL) is a distributed machine learning paradigm facilitating participants to collaboratively train a model without revealing their local data. However, when FL i…