IEEE

Communication-Efficient Federated Learning via Dynamic Sparsity: An Adaptive Pruning Ratio Based on Weight Importance

Abstract: In Federated Learning (FL), optimizing communication efficiency and utilizing computational resources present key challenges. This paper proposes the Federated Adaptive Deep Sparse ...
Communications of the ACM

Collective Intelligence Doesn’t Scale, In-Context Collaborative Learning Does

This is where Collective Adaptive Intelligence (CAI) comes in. CAI is a form of collective intelligence in which the ...
IEEE

Deep Reinforcement Learning With Dueling DQN for Partial Computation Offloading and Resource Allocation in Mobile Edge Computing

Abstract: Computation offloading transfers resource-intensive tasks from local Internet of Things (IoT) devices to powerful edge servers, which minimizes latency and reduces the computational load on ...
Scientific Research Publishing

Applying Deep Learning Techniques for Automated Analysis and Interpretation of Financial Statements ()

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...