BestHub
Sign in
Data Party THU
Data Party THU
Apr 26, 2026 · Artificial Intelligence

Meta-Encoder Unleashes Pathology Model Cluster Power, Sets New Records on International Datasets

Researchers from Shanghai Jiao Tong University introduce the Meta‑Encoder, a unified integration framework that dynamically combines multiple pathological foundation models, achieving superior cancer detection performance across diverse tasks and datasets while maintaining low computational cost.

Cancer DetectionComputational EfficiencyMeta-Encoder
0 likes · 8 min read
Meta-Encoder Unleashes Pathology Model Cluster Power, Sets New Records on International Datasets
AsiaInfo Technology: New Tech Exploration
AsiaInfo Technology: New Tech Exploration
May 19, 2025 · Artificial Intelligence

How WASP Generates High‑Quality DP Synthetic Data with Multi‑Model Collaboration

WASP is a privacy‑preserving framework that fuses multiple pretrained language models through a weighted Top‑Q voting scheme to synthesize differential‑private data, dramatically improving downstream task performance even when only a few private samples are available, and it scales to federated settings.

Federated LearningMulti-Model Fusiondifferential privacy
0 likes · 19 min read
How WASP Generates High‑Quality DP Synthetic Data with Multi‑Model Collaboration