2 papers
cs.LG2025
Diffusion-based Decentralized Federated Multi-Task Representation Learning
Donghwa Kang, Shana Moothedath
Representation learning is a widely adopted framework for learning in data-scarce environments to obtain a feature extractor or representation from various different yet related ta…
cs.LG2025
Beyond Centralization: Provable Communication Efficient Decentralized Multi-Task Learning
Donghwa Kang, Shana Moothedath
Representation learning is a widely adopted framework for learning in data-scarce environments, aiming to extract common features from related tasks. While centralized approaches h…