Joint Optimization of Device Placement and Model Partitioning for Cooperative DNN Inference in Heterogeneous Edge Computing.

Efficient Parameter Synchronization for Peer-to-Peer Distributed Learning With Selective Multicast.

An Efficient Coding Scheme for the MIMO Channel With Noisy Feedback and Its Security Analysis.

Efficient Cross-Cloud Partial Reduce With CREW.

An Efficient Joint Source-Channel Coding Scheme for Wireless Hierarchical Federated Learning and its Information-Theoretic Analysis.

Releasing the Power of In-Network Aggregation With Aggregator-Aware Routing Optimization.

Efficient and Flexible Component Placement for Serverless Computing.

Deep Contrastive Representation Learning With Self-Distillation.

Freshness and Security-Aware Cache Update in Blockchain-Based Vehicular Edge Networks.

Joint Optimization for Quality Selection and Resource Allocation of Live Video Streaming in Internet of Vehicles.

UbiNN: A Communication Efficient Framework for Distributed Machine Learning in Edge Computing.

SelfMatch: Robust semisupervised time-series classification with self-distillation.

Offloading dependent tasks in multi-access edge computing: A multi-objective reinforcement learning approach.

Near-Optimal Multicast Tree Construction in Leaf-Spine Data Center Networks.

Efficient File Dissemination in Data Center Networks With Priority-Based Adaptive Multicast.

A generalized service deployment framework for OSPF networks using multi-topology routing: Modeling and methodology.

An integer encoding grey wolf optimizer for virtual network function placement.