FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data

no code implementations • 7 May 2024 • Shusen Jing, Anlan Yu, Shuai Zhang, Songyang Zhang

One unique challenge of federated self-supervised learning (FedSSL) is that the global objective of FedSSL usually does not equal the weighted sum of local SSL objectives.

Federated Learning Self-Supervised Learning

Reinforcement Learning for Robust Header Compression under Model Uncertainty

no code implementations • 23 Sep 2023 • Shusen Jing, Songyang Zhang, Zhi Ding

Robust header compression (ROHC), critically positioned between the network and the MAC layers, plays an important role in modern wireless communication systems for improving data efficiency.

reinforcement-learning Reinforcement Learning (RL)