Federated Learning 2
NDSS 2025 – MingledPie: A Cluster Mingling Approach For Mitigating Preference Profiling In CFL
Session 12A: Federated Learning 2 Authors, Creators & Presenters: Cheng Zhang (Hunan University), Yang Xu (Hunan University), Jianghao Tan (Hunan University), Jiajie An (Hunan University), Wenqiang Jin (Hunan University) PAPER MingledPie: A ...
NDSS 2025 – Privacy-Preserving Data Deduplication for Enhancing Federated Learning of Language Model
Session 12A: Federated Learning 2 Authors, Creators & Presenters: Aydin Abadi (Newcastle University), Vishnu Asutosh Dasu (Pennsylvania State University), Sumanta Sarkar (University of Warwick) PAPER Privacy-Preserving Data Deduplication for Enhancing Federated Learning ...
NDSS 2025 – Scale-MIA
Session 12A: Federated Learning 2 Authors, Creators & Presenters: Shanghao Shi (Virginia Tech), Ning Wang (University of South Florida), Yang Xiao (University of Kentucky), Chaoyu Zhang (Virginia Tech), Yi Shi (Virginia Tech), ...
NDSS 2025 – Do We Really Need to Design New Byzantine-Robust Aggregation Rules?
Session 12A: Federated Learning 2 Authors, Creators & Presenters: Minghong Fang (University of Louisville), Seyedsina Nabavirazavi (Florida International University), Zhuqing Liu (University of North Texas), Wei Sun (Wichita State University), Sundararaja Iyengar ...
NDSS 2025 – CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling
Session 12A: Federated Learning 2 Authors, Creators & Presenters: Kaiyuan Zhang (Purdue University), Siyuan Cheng (Purdue University), Guangyu Shen (Purdue University), Bruno Ribeiro (Purdue University), Shengwei An (Purdue University), Pin-Yu Chen (IBM ...
