most citedOn the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning

6 citations · 11 across the 7 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2023★ 4 cited

Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer

Zikai Xiao, Zihan Chen, Songshang Liu +7

Data privacy and long-tailed distribution are the norms rather than the exception in many real-world tasks. This paper investigates a federated long-tailed learning (Fed-LT) task i…