Poster

[Re] Privacy-preserving collaborative learning with automatic transformation search
Alfonso Taboada Warmerdam · Lodewijk Loerakker · Lucas Meijer · Ole Nissen

Panel

Tue 9:15

Panel 1A-1: Near-Optimal Collaborative Learning… & Minimax Regret for…
Clémence Réda · Daniel Vial

Poster

Collaborative Learning by Detecting Collaboration Partners
Shu Ding · Wei Wang

Workshop

Workshop

Sat 13:20

Scalable Collaborative Learning via Representation Sharing
Frédéric Berdoz · Abhishek Singh · Martin Jaggi · Ramesh Raskar

Poster

Wed 9:00

Trade-off between Payoff and Model Rewards in Shapley-Fair Collaborative Machine Learning
Quoc Phong Nguyen · Bryan Kian Hsiang Low · Patrick Jaillet

Poster

Tue 9:00

On Sample Optimality in Personalized Collaborative and Federated Learning
Mathieu Even · Laurent Massoulié · Kevin Scaman

Workshop

MocoSFL: enabling cross-client collaborative self-supervised learning
Jingtao Li · Lingjuan Lyu · Daisuke Iso · Chaitali Chakrabarti · Michael Spranger

Workshop

Learning from Data through Human-Machine Collaboration
Sara Pido · Pietro Crovari · Pietro Pinoli

Affinity Workshop

Privacy-Preserving Machine Learning for Collaborative Data Sharing via Auto-encoder Latent Space Embeddings
Ana María Quintero-Ossa · Jesus Solano · Hernan Garcia · David Zarruk · Alejandro Bahnsen · Carlos Valencia

Poster

Wed 9:00

On-Demand Sampling: Learning Optimally from Multiple Distributions
Nika Haghtalab · Michael Jordan · Eric Zhao

Poster

Wed 14:00

On the Generalizability and Predictability of Recommender Systems
Duncan McElfresh · Sujay Khandagale · Jonathan Valverde · John Dickerson · Colin White