Summary of Fppl: An Efficient and Non-iid Robust Federated Continual Learning Framework, by Yuchen He et al.
FPPL: An Efficient and Non-IID Robust Federated Continual Learning Frameworkby Yuchen He, Chuyun Shen, Xiangfeng…
FPPL: An Efficient and Non-IID Robust Federated Continual Learning Frameworkby Yuchen He, Chuyun Shen, Xiangfeng…
EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detectionby Zihang Qiu, Chaojie…
Dual Low-Rank Adaptation for Continual Learning with Pre-Trained Modelsby Huancheng Chen, Jingtao Li, Nidham Gazagnadou,…
EXACFS – A CIL Method to mitigate Catastrophic Forgettingby S Balasubramanian, M Sai Subramaniam, Sai…
Plastic Learning with Deep Fourier Featuresby Alex Lewandowski, Dale Schuurmans, Marlos C. MachadoFirst submitted to…
Vector Quantization Prompting for Continual Learningby Li Jiao, Qiuxia Lai, Yu Li, Qiang XuFirst submitted…
Self-Normalized Resets for Plasticity in Continual Learningby Vivek F. Farias, Adam D. JozefiakFirst submitted to…
LLMs Can Evolve Continually on Modality for X-Modal Reasoningby Jiazuo Yu, Haomiao Xiong, Lu Zhang,…
Improving Multimodal Large Language Models Using Continual Learningby Shikhar Srivastava, Md Yousuf Harun, Robik Shrestha,…
TEAM: Topological Evolution-aware Framework for Traffic Forecasting–Extended Versionby Duc Kieu, Tung Kieu, Peng Han, Bin…