- FACET: Federated Convention Atlases for Few-Shot Teamwork under Private Populations and Task Shift
Manoj Saravanan - You Don't Have to Be the One Doing Evil! Locate a Scapegoat within Multi-Agent Systems for Executing Covert Attacks
Tianzhe Xiao, Haozhao Wang, Yichen Li, Tianlong Luo, Xiong Yongfu, Daiming Kuang, Yi Wang, YI LIU, Ruixuan Li - STAIN-FL: Stealthy Targeted Attack Injection with Contextual Triggers in Federated Learning
Ashlinder Kaur, Purnima Murali Mohan, Zengxiang Li, Tram Truong-Huu - Trustworthiness Scores in Federated Learning
Ulrich Flóra Zsuzsanna, Balazs Pejo - Reliability-Guided Federated Multi-Agent Learning for High-Risk Flood Mapping from Heterogeneous Satellite Data
Qian Li, Zhe Wang, Xuri Ge, Xiang Chen, Tengfei Ma, Songwei Pei, Shangguang Wang - Private and Robust Contribution Evaluation
Delio Jaramillo Velez, Gergely Biczok, Balazs Pejo - Deterministic Credit Assignment for Multi-Agent Portfolio Management via a Provenance DAG
M Rohit - Safe Equilibrium Policy Optimization for Strategic Agent Policies
Karthika Arumugam, Kiran Kumar Manku, Amit Dhanda - Targeted Label-Flipping and Oversampling Attacks on Federated Conditional GANs
Panav Shah, Avishek Ghosh - FedAlign: Gradient-Space Alignment for Communication-Efficient Federated Fine-Tuning of LLMs Across Heterogeneous Agents
Kaustubh S. Bukkapatnam - Learning to Aggregate Zero-Shot LLM Agents for Corporate Disclosure Classification
Kemal Kirtac
Accepted Papers
Accepted Papers