3 papers
cs.LG2026
RW-LoRA: Communication-Efficient Decentralized LoRA Fine-Tuning via Random Walks
Xingran Chen, Rohit Bhagat, Ghadir Ayache +3
Parameter-efficient fine-tuning methods such as LoRA have become a standard approach for adapting large foundation models. Adopting fine-tuning to distributed settings faces severa…
cs.MA2026
Self-Creating Random Walks for Decentralized Learning under Pac-Man Attacks
Xingran Chen, Parimal Parag, Rohit Bhagat +1
Random walk (RW)-based algorithms have long been popular in distributed systems due to low overheads and scalability, with recent growing applications in decentralized learning. Ho…
stat.ML2025
Random Walk Learning and the Pac-Man Attack
Xingran Chen, Parimal Parag, Rohit Bhagat +2
Random walk (RW)-based algorithms have long been popular in distributed systems due to low overheads and scalability, with recent growing applications in decentralized learning. Ho…