SPCOM-P11.4

ParaAegis: Parallel Protection for Flexible Privacy-preserved Federated Learning

Zihou Wu, Yuecheng Li, School of Computer Science and Engineering, Sun Yat-sen University, China; Tianchi Liao, Jian Lou, School of Software Engineering, Sun Yat-sen University, China; Chuan Chen, School of Computer Science and Engineering, Sun Yat-sen University, China
Session:
SPCOM-P11: Distributed and federated learning Poster
Track:
Signal Processing for Sensing and Communications [SPCOM] [SC]
Location:
Poster Area 35
Presentation Time:
Fri, 8 May, 14:00 - 16:00
Presentation
Discussion
Resources
No resources available.
Session SPCOM-P11
SPCOM-P11.1: DERIVING MOMENTS IN THE AGE OF GOSSIP PROCESS FROM PERCOLATION
Thomas Jacob Maranzatto, Sennur Ulukus, University of Maryland, United States of America
SPCOM-P11.2: TURN THE BLACK-BOX WHITE: INFERRING AGGREGATION RULES IN FEDERATED LEARNING THROUGH MULTI-TRIGGER GEOMETRY-AWARE BACKDOORS
Yang Li, Adams Wai Kin Kong, Nanyang Technological University, Singapore
SPCOM-P11.3: FEDON: BLACK-BOX UNTARGETED MODEL POISONING VIA MULTI-OBJECTIVE REINFORCEMENT LEARNING
Yang Li, Adams Wai Kin Kong, Nanyang Technological University, Singapore
SPCOM-P11.4: ParaAegis: Parallel Protection for Flexible Privacy-preserved Federated Learning
Zihou Wu, Yuecheng Li, School of Computer Science and Engineering, Sun Yat-sen University, China; Tianchi Liao, Jian Lou, School of Software Engineering, Sun Yat-sen University, China; Chuan Chen, School of Computer Science and Engineering, Sun Yat-sen University, China
SPCOM-P11.5: COLLABORATIVE STANDARDIZATION OF MULTI-CENTER CLINICAL DATA USING DISTRIBUTION-AWARE LLM FUSION
Yawen Zhang, Jiaqi Zhou, Xianrui Zhang, Peng Cheng Laboratory, China; Xianhui Ran, Xiao Ma, China-Japan Friendship Hospital, China; Zhen Song, Haofei Wang, Peng Cheng Laboratory, China
SPCOM-P11.6: EXPLOITING THE PROPERTIES OF AN ADAPTIVE BLACK-BOX ATTACK AGAINST FEDERATED LEARNING
Yang Li, Adams Wai Kin Kong, Nanyang Technological University, Singapore
SPCOM-P11.7: FedAVOT: Exact Distribution Alignment in Federated Learning via Masked Optimal Transport
Herlock (SeyedAbolfazl) Rahimi, Dionysis Kalogerias, Yale University, United States of America
SPCOM-P11.8: Achieving Linear Speed-Up for Distributed Inexact-ADMM
Sulaiman Alghunaim, Kuwait university, Kuwait
SPCOM-P11.9: Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks
Xingran Chen, Rutgers University, United States of America; Navid NaderiAlizadeh, Duke University, United States of America; Alejandro Ribeiro, Shirin Saeedi Bidokhti, University of Pennsylvania, United States of America
Contacts