Poster · Sydney

ERIS: Enhancing Privacy and Scalability in Federated Learning via Federated Shard Aggregation

Name: ERIS: Enhancing Privacy and Scalability in Federated Learning via Federated Shard Aggregation
Start: 2026-12-10T10:00:00+11:00
End: 2026-12-10T13:00:00+11:00
Location: Hall 1-4, ICC Sydney

When: Thu 10 Dec 2026, 10:00–13:00 AEDT
Where: Hall 1-4, ICC Sydney
Exhibition Centre, Level 1
Session: Sydney Poster Session 5
Authors: Dario Fenoglio, Pasquale Polverino, Jacopo Quizi, Martin Gjoreski, Akash Dhasade, Marc Langheinrich
Organisations: Massachusetts Institute of Technology, Universita della Svizzera Italiana, USI Lugano, Carnegie Mellon University
QRS classification: Safety, fairness and privacy, Efficient and distributed ML systems

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