Poster · Sydney

FedSEM: Mitigating Cross-Client Evidence Drift in Federated Multiple Instance Learning

Name: FedSEM: Mitigating Cross-Client Evidence Drift in Federated Multiple Instance Learning
Start: 2026-12-08T17:00:00+11:00
End: 2026-12-08T20:00:00+11:00
Location: Hall 1-4, ICC Sydney

When: Tue 8 Dec 2026, 17:00–20:00 AEDT
Where: Hall 1-4, ICC Sydney
Exhibition Centre, Level 1
Session: Sydney Poster Session 2
Authors: Zhiqiang Kou, Beidi Wang, Yuling Shi, Shengkun Zhu, Wei Tang, Xiaodong Gu, Jiankai Zuo, Di Jiang, Yu Zhang
Organisations: Southeast University, Tongji University, Shanghai Jiao Tong University, Hong Kong Polytechnic University, Mohamed bin Zayed University of Artificial Intelligence, NAVER, Suzhou University of Science and Technology, Macquarie University
QRS classification: Efficient and distributed ML systems

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